Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction
This paper proposed a novel radial basis function (RBF) neural network model optimized by exponential decreasing inertia weight particle swarm optimization (EDIW-PSO). Based on the inertia weight decreasing strategy, we propose a new Exponential Decreasing Inertia Weight (EDIW) to improve the PSO al...
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| Vydáno v: | Abstract and Applied Analysis Ročník 2014; číslo 2014; s. 399 - 407-144 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Cairo, Egypt
Hindawi Limiteds
01.01.2014
Hindawi Publishing Corporation John Wiley & Sons, Inc Wiley |
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| ISSN: | 1085-3375, 1687-0409 |
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| Abstract | This paper proposed a novel radial basis function (RBF) neural network model optimized by exponential decreasing inertia weight particle swarm optimization (EDIW-PSO). Based on the inertia weight decreasing strategy, we propose a new Exponential Decreasing Inertia Weight (EDIW) to improve the PSO algorithm. We use the modified EDIW-PSO algorithm to determine the centers, widths, and connection weights of RBF neural network. To assess the performance of the proposed EDIW-PSO-RBF model, we choose the daily air quality index (AQI) of Xi’an for prediction and obtain improved results. |
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| AbstractList | This paper proposed a novel radial basis function (RBF) neural network model optimized by exponential decreasing inertia weight particle swarm optimization (EDIW-PSO). Based on the inertia weight decreasing strategy, we propose a new Exponential Decreasing Inertia Weight (EDIW) to improve the PSO algorithm. We use the modified EDIW-PSO algorithm to determine the centers, widths, and connection weights of RBF neural network. To assess the performance of the proposed EDIW-PSO-RBF model, we choose the daily air quality index (AQI) of Xi'an for prediction and obtain improved results. |
| Audience | Academic |
| Author | Bai, Yanping Hu, Hongping Lu, Jinna |
| Author_xml | – sequence: 1 fullname: Lu, Jinna – sequence: 2 fullname: Bai, Yanping – sequence: 3 fullname: Hu, Hongping |
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| CitedBy_id | crossref_primary_10_1109_ACCESS_2020_2985596 crossref_primary_10_1155_2019_1480392 crossref_primary_10_1038_s41598_022_17754_3 crossref_primary_10_3390_app9245445 crossref_primary_10_1108_MMMS_02_2022_0019 crossref_primary_10_1002_for_2872 crossref_primary_10_1016_j_scitotenv_2020_142052 crossref_primary_10_1038_s41598_018_23075_1 crossref_primary_10_1007_s10489_024_05502_1 crossref_primary_10_1109_ACCESS_2022_3142859 crossref_primary_10_3390_en18010071 |
| Cites_doi | 10.1016/S0925-2312(97)00078-7 10.1016/j.cor.2004.08.012 10.1016/j.neucom.2011.03.027 10.1109/72.761725 10.1007/s11063-005-6799-x 10.1155/2013/231735 10.1504/IJBIC.2009.024723 10.1016/S0893-6080(00)00060-5 10.1109/TNN.2004.836241 10.1016/j.cam.2007.10.023 10.1155/DDNS/2006/79295 10.1109/3468.618260 10.1016/0893-6080(95)00029-Y 10.1016/S0169-7439(99)00056-8 10.1109/TSMCB.2011.2168604 10.1109/72.80341 10.1016/j.neunet.2011.04.006 10.1142/S0129065710002292 10.1155/2011/589862 |
| ContentType | Journal Article |
| Copyright | Copyright © 2014 Jinna Lu et al. COPYRIGHT 2014 John Wiley & Sons, Inc. Copyright © 2014 Jinna Lu et al. Jinna Lu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright 2014 Hindawi Publishing Corporation |
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| SubjectTerms | Colleges & universities Data processing Functional equations Functions Inertia Mathematical optimization Mathematical research Methods Neural networks Neurons Outdoor air quality |
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| Title | Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction |
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