Research on gas concentration identification based on sparrow search algorithm optimization SVR
To address the challenge of quantitatively identifying mixed gases, we developed a gas concentration identification algorithm based on the sparrow search algorithm (SSA) and optimized support vector regression (SVR). The Tent chaotic mapping operator is employed to initialize the population, enhanci...
Uloženo v:
| Vydáno v: | International journal on smart sensing and intelligent systems Ročník 18; číslo 1 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Sydney
Sciendo
01.01.2025
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
| Témata: | |
| ISSN: | 1178-5608, 1178-5608 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | To address the challenge of quantitatively identifying mixed gases, we developed a gas concentration identification algorithm based on the sparrow search algorithm (SSA) and optimized support vector regression (SVR). The Tent chaotic mapping operator is employed to initialize the population, enhancing population diversity, and improving the algorithm’s global search capability. By optimizing SVR parameters with SSA, we propose an enhanced TSSA-SVR model. Evaluated on mixed gas datasets, TSSA-SVR achieves a prediction accuracy of 94.47%, outperforming comparative algorithms such as Genetic Algorithm (GA)-SVR and PSO-SVR, while demonstrating improved convergence compared to the baseline SSA-SVR. The experimental results demonstrate significant performance enhancements, offering an effective solution for precise gas concentration identification in complex environments. |
|---|---|
| AbstractList | To address the challenge of quantitatively identifying mixed gases, we developed a gas concentration identification algorithm based on the sparrow search algorithm (SSA) and optimized support vector regression (SVR). The Tent chaotic mapping operator is employed to initialize the population, enhancing population diversity, and improving the algorithm’s global search capability. By optimizing SVR parameters with SSA, we propose an enhanced TSSA-SVR model. Evaluated on mixed gas datasets, TSSA-SVR achieves a prediction accuracy of 94.47%, outperforming comparative algorithms such as Genetic Algorithm (GA)-SVR and PSO-SVR, while demonstrating improved convergence compared to the baseline SSA-SVR. The experimental results demonstrate significant performance enhancements, offering an effective solution for precise gas concentration identification in complex environments. |
| Author | Zhang, Yuanman Wu, Qingyun Zou, Yanan |
| Author_xml | – sequence: 1 givenname: Yuanman surname: Zhang fullname: Zhang, Yuanman organization: School of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin City 132022, Jilin Province, China – sequence: 2 givenname: Yanan surname: Zou fullname: Zou, Yanan email: zouyanan@jlict.edu.cn organization: School of Science, Jilin Institute of Chemical Technology, Jilin City 132022, Jilin Province, China – sequence: 3 givenname: Qingyun surname: Wu fullname: Wu, Qingyun organization: School of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin City 132022, Jilin Province, China |
| BookMark | eNp1kM1Lw0AQxRepYK29ewx4ju5HNrvBkxStQkGoH9dldzNpt7TZuJtS6l9vQgp6cS7zZni_GXiXaFT7GhC6JviWZkLeuU2MLqYUU55izOQZGhMiZMpzLEd_9AWaxrjBXbGCCpKPkVpCBB3sOvF1stIxsb62ULdBt67buLLTrnJ2GI2OUPbO2OgQ_CE5sXq78sG1613im9bt3Pdgf_tcXqHzSm8jTE99gj6eHt9nz-nidf4ye1ikllHcpjnXWHBgOckLzkVuteAUDNVUmgxMDsRqAKGFyYy1VVkRyxktC8JLUxhB2ATdDHeb4L_2EFu18ftQdy8Vo4xlUmLOOxceXDb4GANUqglup8NREaz6JNWQpOqTVH2SHXI_IAe9bSGUsAr7Yyd-7_-HEknYD9x1f9g |
| Cites_doi | 10.3390/s22228977 10.1016/0925-4005(94)87085-3 10.1016/j.snb.2015.03.028 10.1016/j.meatsci.2017.04.240 10.1016/j.knosys.2021.106924 10.3390/electronics9122205 10.1016/0250-6874(84)85019-2 10.1016/j.jallcom.2019.07.301 10.1631/FITEE.2200237 10.1038/299352a0 10.3390/s21020347 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00093 10.1080/21642583.2019.1708830 10.3390/bios12090692 10.1088/1742-6596/2650/1/012020 10.3390/buildings13112847 10.1145/3503047.3503110 10.1111/j.1365-2621.1964.tb01746.x |
| ContentType | Journal Article |
| Copyright | 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION 8FE 8FG ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- L6V M7S P5Z P62 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS |
| DOI | 10.2478/ijssis-2025-0038 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Database Suite (ProQuest) ProQuest Technology Collection ProQuest One ProQuest Central Korea ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database (ProQuest) ProQuest Engineering Collection Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection |
| DatabaseTitle | CrossRef Publicly Available Content Database Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest Central Korea ProQuest Central (New) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition Materials Science & Engineering Collection ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: PIMPY name: ProQuest Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1178-5608 |
| ExternalDocumentID | 10_2478_ijssis_2025_0038 10_2478_ijssis_2025_0038181 |
| GroupedDBID | .4S .DC 9WM AATOW ABFKT ABJCF ADBBV AFFHD AFKRA AHGSO ALMA_UNASSIGNED_HOLDINGS ARAPS ARCSS BCNDV BENPR BGLVJ CCPQU E3Z EBS EDO EN8 HCIFZ I-F IAO ICD ITG ITH K7- M7S MK~ M~E OK1 PHGZM PHGZT PIMPY PQGLB PTHSS QD8 SLJYH TR2 TUS AAYXX CITATION 8FE 8FG ABUWG AZQEC DWQXO GNUQQ JQ2 L6V P62 PKEHL PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c320t-65a075e361695576ca752eb2a28b4eb6e1caee7a7b4bccfdf1c532d915db9b713 |
| IEDL.DBID | P5Z |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001536274400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1178-5608 |
| IngestDate | Sun Oct 19 01:43:07 EDT 2025 Wed Oct 29 21:27:19 EDT 2025 Sat Nov 29 01:22:10 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. http://creativecommons.org/licenses/by-nc-nd/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c320t-65a075e361695576ca752eb2a28b4eb6e1caee7a7b4bccfdf1c532d915db9b713 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| OpenAccessLink | https://www.proquest.com/docview/3233488055?pq-origsite=%requestingapplication% |
| PQID | 3233488055 |
| PQPubID | 5316521 |
| PageCount | 10 |
| ParticipantIDs | proquest_journals_3233488055 crossref_primary_10_2478_ijssis_2025_0038 walterdegruyter_journals_10_2478_ijssis_2025_0038181 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-01-01 20250101 |
| PublicationDateYYYYMMDD | 2025-01-01 |
| PublicationDate_xml | – month: 01 year: 2025 text: 2025-01-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Sydney |
| PublicationPlace_xml | – name: Sydney |
| PublicationTitle | International journal on smart sensing and intelligent systems |
| PublicationYear | 2025 |
| Publisher | Sciendo De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
| Publisher_xml | – name: Sciendo – name: De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
| References | Kupin; Kosei, M. P. (j_ijssis-2025-0038_ref_015) 2024 Mu, S.; Shen, W.F.; Lu, D.W. (j_ijssis-2025-0038_ref_004) 2024 Lv, X.; Mu, X.; Zhang, J. (j_ijssis-2025-0038_ref_018) 2021; 47 Gardner, J.W.; Bartlett, P.N. (j_ijssis-2025-0038_ref_008) 1994; 18 Zhu, Z.; Tian, B.; Fan, X.; Zeng, M.; Yang, Z. (j_ijssis-2025-0038_ref_014) 2023; 2650 Tang, Y.; Dai, Q.; Yang, M.Y. (j_ijssis-2025-0038_ref_026) 2023; 45 Zhang, H.; Han, Y. (j_ijssis-2025-0038_ref_024) 2022; 22 Li, Z.; Yao, Z.; Haidry, A.; Plecenik, T.; Grančič, B.; Roch, T.; Gregor, M.; Plecenik, A. (j_ijssis-2025-0038_ref_010) 2019; 803 Wang, X.; Zhang, Q. (j_ijssis-2025-0038_ref_023) 2022; 22 Zou, Y.; Lv, J. (j_ijssis-2025-0038_ref_030) 2020; 9 Zhang, C.; Ding, S. (j_ijssis-2025-0038_ref_028) 2021; 220 Chen, J.; Fan, Y.; Dai, X. (j_ijssis-2025-0038_ref_022) 2023; 37 Hu, Q.; Gong, S.; Hu, Z. (j_ijssis-2025-0038_ref_013) 2022; 29 Meng, K.; Chen, C.; Xin, B. (j_ijssis-2025-0038_ref_019) 2022; 23 Persaud, K.; Dodd, G. (j_ijssis-2025-0038_ref_006) 1982; 299 Wilkens, W.F.; Hartman, J.D. (j_ijssis-2025-0038_ref_005) 1964; 29 Zhan, C.; He, J.; Pan, M. (j_ijssis-2025-0038_ref_009) 2021; 21 Zhang, L.; Wang, T.; Zhou, H. (j_ijssis-2025-0038_ref_025) 2019; 57 Jung, C.; Mahmoud, N.; Qassimi, N.; Elsamanoudy, G. (j_ijssis-2025-0038_ref_001) 2023; 13 Wang, J.; Tao, Y.; Liang, Z. (j_ijssis-2025-0038_ref_012) 2019; 47 Wojnowski, W.; Majchrzak, T.; Dymerski, T. (j_ijssis-2025-0038_ref_031) 2017; 131 Li, P.; Xu, Y.; Yang, J. (j_ijssis-2025-0038_ref_011) 2022; 45 Zaromb, S.; Stetter, J.R. (j_ijssis-2025-0038_ref_007) 1984; 6 Xiang, C.; Shi, H. (j_ijssis-2025-0038_ref_020) 2019; 68 Xue, J.; Shen, B. (j_ijssis-2025-0038_ref_017) 2020; 8 Fonollosa, J.; Sheik, S.; Huerta, R.; Marco, S. (j_ijssis-2025-0038_ref_029) 2015; 215 Bao, Z.Q.; Lu, C.; Zhang, S. (j_ijssis-2025-0038_ref_021) 2022; 31 Zhao, C.; Ma, J.; Jia, W. (j_ijssis-2025-0038_ref_003) 2022; 12 Wang, X.; Bi, M. (j_ijssis-2025-0038_ref_016) 2023; 12511 2025102610033337539_j_ijssis-2025-0038_ref_003 2025102610033337539_j_ijssis-2025-0038_ref_025 2025102610033337539_j_ijssis-2025-0038_ref_004 2025102610033337539_j_ijssis-2025-0038_ref_026 2025102610033337539_j_ijssis-2025-0038_ref_001 2025102610033337539_j_ijssis-2025-0038_ref_023 2025102610033337539_j_ijssis-2025-0038_ref_002 2025102610033337539_j_ijssis-2025-0038_ref_024 2025102610033337539_j_ijssis-2025-0038_ref_007 2025102610033337539_j_ijssis-2025-0038_ref_029 2025102610033337539_j_ijssis-2025-0038_ref_008 2025102610033337539_j_ijssis-2025-0038_ref_005 2025102610033337539_j_ijssis-2025-0038_ref_027 2025102610033337539_j_ijssis-2025-0038_ref_006 2025102610033337539_j_ijssis-2025-0038_ref_028 2025102610033337539_j_ijssis-2025-0038_ref_021 2025102610033337539_j_ijssis-2025-0038_ref_022 2025102610033337539_j_ijssis-2025-0038_ref_020 2025102610033337539_j_ijssis-2025-0038_ref_014 2025102610033337539_j_ijssis-2025-0038_ref_015 2025102610033337539_j_ijssis-2025-0038_ref_012 2025102610033337539_j_ijssis-2025-0038_ref_013 2025102610033337539_j_ijssis-2025-0038_ref_018 2025102610033337539_j_ijssis-2025-0038_ref_019 2025102610033337539_j_ijssis-2025-0038_ref_016 2025102610033337539_j_ijssis-2025-0038_ref_017 2025102610033337539_j_ijssis-2025-0038_ref_010 2025102610033337539_j_ijssis-2025-0038_ref_011 2025102610033337539_j_ijssis-2025-0038_ref_030 2025102610033337539_j_ijssis-2025-0038_ref_031 2025102610033337539_j_ijssis-2025-0038_ref_009 |
| References_xml | – volume: 299 start-page: 352 issue: 5881 year: 1982 end-page: 355 ident: j_ijssis-2025-0038_ref_006 article-title: “Analysis of Discrimination Mechanisms in the Mammalian Olfactory System Using a Model Nose,” publication-title: Nature – volume: 2650 year: 2023 ident: j_ijssis-2025-0038_ref_014 article-title: “Concentration Prediction of Multi-component Gases Based on Improved Sparrow Search Algorithm,” publication-title: Journal of Physics: Conference Series – volume: 47 start-page: 1712 issue: 8 year: 2021 end-page: 1720 ident: j_ijssis-2025-0038_ref_018 article-title: “Chaotic Sparrow Search Optimization Algorithm,” publication-title: Journal of Beijing University of Aeronautics and Astronautics – volume: 37 start-page: 50 issue: 4 year: 2023 end-page: 56 ident: j_ijssis-2025-0038_ref_022 article-title: “Research on Intelligent Vehicle Path Planning with Improved Sparrow Search Algorithm,” publication-title: Journal of Chongqing University of Technology (Natural Science) – volume: 45 start-page: 346 issue: 2 year: 2023 end-page: 354 ident: j_ijssis-2025-0038_ref_026 article-title: “Improved Sparrow Search Algorithm to Optimize SVM Outlier Detection,” publication-title: Computer Engineering and Science – volume: 22 start-page: 15115 issue: 34 year: 2022 end-page: 15122 ident: j_ijssis-2025-0038_ref_023 article-title: “Loss Prediction by Support Vector Machine with Improved Sparrow Search Algorithm,” publication-title: Science Technology and Engineering – volume: 215 start-page: 618 year: 2015 end-page: 629 ident: j_ijssis-2025-0038_ref_029 article-title: Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring publication-title: Sensors Actuators B Chem. – volume: 9 start-page: 2205 issue: 12 year: 2020 ident: j_ijssis-2025-0038_ref_030 article-title: “Using Recurrent Neural Network to Optimize Electronic Nose System with Dimensionality Reduction,” publication-title: Electronics – volume: 57 start-page: 50 issue: 16 year: 2019 end-page: 64 ident: j_ijssis-2025-0038_ref_025 article-title: “Research Progress of SVR Parameter Optimization Based on Swarm Intelligence Algorithm,” publication-title: Computer Engineering and Applications – volume: 22 start-page: 8977 issue: 22 year: 2022 ident: j_ijssis-2025-0038_ref_024 article-title: “A New Mixed-Gas-Detection Method Based on a Support Vector Machine Optimized by a Sparrow Search Algorithm,” publication-title: Sensors – volume: 21 start-page: 347 issue: 2 year: 2021 ident: j_ijssis-2025-0038_ref_009 article-title: “Component Analysis of Gas Mixture Based on One-Dimensional Convolutional Neural Network,” publication-title: Sensors – volume: 23 start-page: 1828 issue: 12 year: 2022 end-page: 1847 ident: j_ijssis-2025-0038_ref_019 article-title: “MSSSA: A Multi-Strategy Enhanced Sparrow Search Algorithm for Global Optimization,” publication-title: Frontiers of Information Technology & Electronic Engineering – start-page: 1 year: 2024 end-page: 34 ident: j_ijssis-2025-0038_ref_004 article-title: “Research Progress of Electronic Nose Technology and Its Application,” publication-title: Materials Review – volume: 18 start-page: 210 issue: 1-3 year: 1994 end-page: 211 ident: j_ijssis-2025-0038_ref_008 article-title: “A Brief History of Electronic Noses,” publication-title: Sensors and Actuators B: Chemical – volume: 6 start-page: 225 issue: 4 year: 1984 end-page: 243 ident: j_ijssis-2025-0038_ref_007 article-title: “Theoretical Basis for Identification and Measurement of Air Contaminants Using an Array of Sensors Having Partly Overlapping Selectivities,” publication-title: Sensors and Actuators – volume: 12511 start-page: 1251126 year: 2023 end-page: 1251126-6 ident: j_ijssis-2025-0038_ref_016 article-title: “Greenhouse Gas Prediction Method Based on Particle Swarm Optimized SVR,” – volume: 220 start-page: 106924 year: 2021 ident: j_ijssis-2025-0038_ref_028 article-title: “A Stochastic Configuration Network Based on Chaotic Sparrow Search Algorithm,” publication-title: Knowledge-Based Systems – volume: 29 start-page: 642 issue: 4 year: 2022 end-page: 651 ident: j_ijssis-2025-0038_ref_013 article-title: “Air Quality Index Prediction Based on Improved Sparrow Search Algorithm,” publication-title: Guangxi Science – volume: 45 start-page: 645 issue: 3 year: 2022 end-page: 650 ident: j_ijssis-2025-0038_ref_011 article-title: “Research on Gas Recognition Method Based on One-Dimensional Convolutional Neural Network,” publication-title: Electronic Devices – volume: 12 start-page: 692 issue: 9 year: 2022 ident: j_ijssis-2025-0038_ref_003 article-title: “An Apple Fungal Infection Detection Model Based on BPNN Optimized by Sparrow Search Algorithm,” publication-title: Biosensors – volume: 131 start-page: 119 year: 2017 end-page: 131 ident: j_ijssis-2025-0038_ref_031 article-title: “Electronic Noses: Powerful Tools in Meat Quality Assessment,” publication-title: Meat Science – volume: 47 start-page: 63 issue: 10 year: 2019 end-page: 67 ident: j_ijssis-2025-0038_ref_012 article-title: “Electronic Nose Gas Concentration Detection Based on Improved Extreme Learning Machine,” publication-title: Application of Electronic Technology – volume: 68 start-page: 143 issue: 3 year: 2019 end-page: 150 ident: j_ijssis-2025-0038_ref_020 article-title: “Research on Bridge Damage Identification Method Based on Modal Frequency Strain Energy Entropy and Tent-SSA-BP Neural Network,” publication-title: Highway – volume: 8 start-page: 22 issue: 1 year: 2020 end-page: 34 ident: j_ijssis-2025-0038_ref_017 article-title: “A Novel Swarm Intelligence Optimization Approach: Sparrow Search Algorithm,” publication-title: Systems Science & Control Engineering – volume: 13 start-page: 2847 issue: 11 year: 2023 ident: j_ijssis-2025-0038_ref_001 article-title: “Preliminary Study on the Emission Dynamics of TVOC and Formaldehyde in Homes with Eco-Friendly Materials: Beyond Green Building,” publication-title: Buildings – volume: 31 start-page: 86 issue: 6 year: 2022 end-page: 92 ident: j_ijssis-2025-0038_ref_021 article-title: “Research on Coke Quality Prediction Model Based on TSSA-SVR Model,” publication-title: China Mining – year: 2024 ident: j_ijssis-2025-0038_ref_015 article-title: “Analysis of Swarm Intelligence Algorithms,” publication-title: System Technologies – volume: 29 start-page: 372 issue: 3 year: 1964 end-page: 378 ident: j_ijssis-2025-0038_ref_005 article-title: “An Electronic Analog for the Olfactory Processes,” publication-title: Journal of Food Science – volume: 803 start-page: 225 year: 2019 end-page: 233 ident: j_ijssis-2025-0038_ref_010 article-title: “The Effect of Nb Doping on Hydrogen Gas Sensing Properties of Capacitor-Like Pt/Nb-TiO2/Pt Hydrogen Gas Sensors,” publication-title: Journal of Alloys and Compounds – ident: 2025102610033337539_j_ijssis-2025-0038_ref_022 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_024 doi: 10.3390/s22228977 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_018 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_026 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_008 doi: 10.1016/0925-4005(94)87085-3 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_029 doi: 10.1016/j.snb.2015.03.028 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_020 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_031 doi: 10.1016/j.meatsci.2017.04.240 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_028 doi: 10.1016/j.knosys.2021.106924 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_030 doi: 10.3390/electronics9122205 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_007 doi: 10.1016/0250-6874(84)85019-2 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_010 doi: 10.1016/j.jallcom.2019.07.301 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_019 doi: 10.1631/FITEE.2200237 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_012 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_006 doi: 10.1038/299352a0 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_009 doi: 10.3390/s21020347 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_016 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_027 doi: 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00093 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_017 doi: 10.1080/21642583.2019.1708830 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_003 doi: 10.3390/bios12090692 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_014 doi: 10.1088/1742-6596/2650/1/012020 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_023 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_021 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_001 doi: 10.3390/buildings13112847 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_025 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_004 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_002 doi: 10.1145/3503047.3503110 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_011 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_013 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_015 – ident: 2025102610033337539_j_ijssis-2025-0038_ref_005 doi: 10.1111/j.1365-2621.1964.tb01746.x |
| SSID | ssj0000392716 |
| Score | 2.3150966 |
| Snippet | To address the challenge of quantitatively identifying mixed gases, we developed a gas concentration identification algorithm based on the sparrow search... |
| SourceID | proquest crossref walterdegruyter |
| SourceType | Aggregation Database Index Database Publisher |
| SubjectTerms | electronic nose gas concentration prediction gas sensor array Genetic algorithms Optimization Search algorithms sparrow search algorithm Support vector machines support vector regression |
| Title | Research on gas concentration identification based on sparrow search algorithm optimization SVR |
| URI | https://reference-global.com/article/10.2478/ijssis-2025-0038 https://www.proquest.com/docview/3233488055 |
| Volume | 18 |
| WOSCitedRecordID | wos001536274400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center) customDbUrl: eissn: 1178-5608 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392716 issn: 1178-5608 databaseCode: M~E dateStart: 20080101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1178-5608 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392716 issn: 1178-5608 databaseCode: P5Z dateStart: 20080301 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1178-5608 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392716 issn: 1178-5608 databaseCode: K7- dateStart: 20080301 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1178-5608 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392716 issn: 1178-5608 databaseCode: M7S dateStart: 20080301 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central Database Suite (ProQuest) customDbUrl: eissn: 1178-5608 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392716 issn: 1178-5608 databaseCode: BENPR dateStart: 20080301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content Database customDbUrl: eissn: 1178-5608 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392716 issn: 1178-5608 databaseCode: PIMPY dateStart: 20080301 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB71wYFLS3mILWXlQy8crMbxI8mpArQVqO0qaqEqXCLbcbaLaLZsUhAXfjuexGFFpXLhEimKY1me8cx8M-MZgH1lmGCacxpVQlFRxoYabhz1tmwlMp4mpmsGc3GSTKfp5WWWB4dbE9IqB5nYCepyYdFHfsBjvDOaRlIe3nyj2DUKo6uhhcY6bGKVBGzdkMvPf3wskVf-Hg_00clYJOnB_IvntMazRiwpBsX-1kYrE3PrRxesLt1sefuzHYKjnc452v7f1T6CrWBtktc9e-zAmqsfw_bQyYGEg_0EiiEBjyxqMtMNsXibsQ4ldcm8DDlF_StqvhJHemmEJRxJ-Fd_nfk1tFfXZOEF0XW44UnOL86ewsejyYe372hovUAtj6OWKqm9LeG4YiqTHpJYncjYg3Adp0Y4oxyz2rlEJ0YYa6uyYlbyuMyYLE1mPPB9Bhv1onbPgXi86KxUnFemEpJpw63TkcqsdKxSzIzg1UCC4qavsFF4ZILkKnpyFUguLGKajmBv2O4inLWmWO31CMQduq1G3Telt3B2_z3rC3jY8wv6XfZgo13eupfwwH5v581yDJtvJtP8bAzrxwkdY-roOT5_TcYdL_rv-fvT_NNvh9rqYw |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LTxRBEK4gmMgFfIZV1D7owUOH6efMHIghCIGwbowg4TZ29_Ssa2QWdwYIf4rfSPU82EiiNw4eJ-nppLu-VH3V9QJ4py2TzAhBo0JqKnNuqRXWU-SyhUxFEttmGMzxMB6NkpOT9MsCXPe1MCGtsteJjaLOpy68kW8IHmpGk0ipj2e_aZgaFaKr_QiNFhYH_uoSXbZqc_8Tyvc957s7R9t7tJsqQJ3gUU21MmgmvdBMpwrZtjOx4uhfGp5Y6a32zBnvYxNbaZ0r8oI5JXieMpXb1KJPh_s-gCWkETxpUgUPb990IiQb6H-00VAu42Rj8hORXSEUuaIhCPen9ZtT2pXLJjie-_Hs_Krug7GNjdtd_d9u5zGsdGyabLXwfwILvnwKq_2kCtIprmeQ9QmGZFqSsamIC9WaZdcymEzyLmeq_QyWPQ8rUduGFpWk-9f8GuOZ6x-nZIqK9rSrYCWHx1-fw7d7OeYLWCynpV8Dgv6wd0oLUdhCKmascN5EOnXKs0IzO4APvcizs7aDSIaeV4BH1sIjC_AITVqTAaz34s06XVJlc9kOQN7ByXzV37ZEBvfy37u-hUd7R5-H2XB_dPAKllushjemdVisZ-f-NTx0F_Wkmr1p0E7g-30D6AZFkELf |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Research+on+gas+concentration+identification+based+on+sparrow+search+algorithm+optimization+SVR&rft.jtitle=International+journal+on+smart+sensing+and+intelligent+systems&rft.au=Zhang%2C+Yuanman&rft.au=Zou%2C+Yanan&rft.au=Wu%2C+Qingyun&rft.date=2025-01-01&rft.pub=Sciendo&rft.eissn=1178-5608&rft.volume=18&rft.issue=1&rft_id=info:doi/10.2478%2Fijssis-2025-0038&rft.externalDBID=n%2Fa&rft.externalDocID=10_2478_ijssis_2025_0038181 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1178-5608&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1178-5608&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1178-5608&client=summon |