Výsledky vyhľadávania - "Hybrid learning algorithm"

Developing a Learning Hybrid NoSql Algorithm for Vehicle Routing Problem

Autori: Ozdemir R.H. Sertbas A. İstanbul University Cerrahpaşa Institutional Repository

Prispievatelia: Ozdemir R.H. Sertbas A. İstanbul University Cerrahpaşa Institutional Repository

Zdroj: 2023 8th International Conference on Computer Science and Engineering (UBMK). :420-425

Predmety: Big Data, Vehicle Routing Problem, Hybrid learning algorithm, Number of vehicles, Central locations, NOSQL Database Algorithm, Location, Hierarchical database, Performance, Hybrid Learning Algorithm, Vehicles, Routing algorithms, Learning algorithms, NOSQL database algorithm, Vehicle Routing Problems, Vehicle routing, Time interval, Big data, Database algorithm, Hybrid algorithms, Warehouses

Time Series Prediction and Modeling of Visibility Range with Artificial Neural Network and Hybrid Adaptive Neuro-Fuzzy Inference System

Autori: Okikiade Adewale Layioye Pius Adewale Owolawi Joseph Sunday Ojo

Zdroj: Atmosphere, Vol 16, Iss 8, p 928 (2025)

Predmety: visibility, machine learning, ANN, ANFIS, hybrid learning algorithm, optical wireless communication, Meteorology. Climatology, QC851-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2073-4433/16/8/928; https://doaj.org/toc/2073-4433

Prístupová URL adresa: https://doaj.org/article/70b3d8a2625647baad05306f885bf1c0

Improving the Performance of Sentiment Analysis by Ensemble Hybrid Learning Algorithm With NLP And Cascaded Feature Extraction

Autori: Ayşe Berna ALTINEL GİRGİN Sema ŞAHİN

Zdroj: Volume: 35, Issue: 1 125-141
International Journal of Advances in Engineering and Pure Sciences

Predmety: Duygu analizi, kelime anlam bulanıklığı, makine öğrenmesi, hibrit öğrenme algoritması, LSTM, Engineering, Mühendislik, Sentiment analysis, word ambiguity, machine learning, hybrid learning algorithm

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/jeps/issue/76433/1249586

Human activity recognition based on hybrid learning algorithm for wearable sensor data

Autori: Ravi Kumar Athota D. Sumathi

Zdroj: Measurement: Sensors, Vol 24, Iss , Pp 100512- (2022)

Predmety: Human activity recognition, Hybrid learning algorithm, Convolution neural network, Sensors, Convolution memory fusion algorithm, Convolution gated fusion algorithm, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2665917422001465; https://doaj.org/toc/2665-9174

Prístupová URL adresa: https://doaj.org/article/27bc886b2f9f4410bc2fd3959e219b4e

Sparse Matrix Approach in Neural Networks for Effective Medical Data Sets Classifications

Autori: Sagir Masanawa Hamza Abubakar

Zdroj: Journal of Basic and Applied Research in Biomedicine, Vol 6, Iss 2 (2022)

Predmety: Fuzzy logic, Hybrid Learning Algorithm, Adaptive neuro fuzzy Inference system Feed forward Neural network, Medicine, Biology (General), QH301-705.5

Popis súboru: electronic resource

Relation: https://www.jbarbiomed.com/home/article/view/30; https://doaj.org/toc/2710-1479

Prístupová URL adresa: https://doaj.org/article/eed95a4479ed424f9fc4de67706a4060

Data-Driven Detection Methods on Driver’s Pedal Action Intensity Using Triboelectric Nano-Generators

Autori: Qian Cheng Xiaobei Jiang Haodong Zhang a ďalší

Zdroj: Sustainability, Vol 12, Iss 8926, p 8926 (2020)

Predmety: pedal action intensity, triboelectric nano-generator, data-driven classifier, hybrid learning algorithm, random forest model, gaussian mixture model, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/12/21/8926; https://doaj.org/toc/2071-1050; https://doaj.org/article/95d441e3df43448ba5ffd26f472f5786

Dostupnosť: https://doi.org/10.3390/su12218926
https://doaj.org/article/95d441e3df43448ba5ffd26f472f5786

Структурно-параметричний синтез генеративних нейронних мереж

Prispievatelia: Синєглазов, Віктор Михайлович ELAKPI

Predmety: генетичний алгоритм, generative-adversarial networks, discriminator, generator, структурно-параметричний синтез, генеративно-змагальні мережі, genetic algorithm, дискримінатор, генератор, гібридний алгоритм навчання, hybrid learning algorithm, structural-parametric synthesis

Popis súboru: application/pdf

Prístupová URL adresa: https://ela.kpi.ua/handle/123456789/64847

Improving discrimination ability of convolutional neural networks by hybrid learning

Autori: Kim, In-Jung Choi, Changbeom Lee, Sang-Heon

Zdroj: International Journal on Document Analysis and Recognition (IJDAR). 19:1-9

Predmety: Classification Errors, Neural Networks, Character recognition, Errors, 4. Education, Hybrid learning, Deep learning, Convolutional Neural Network, Hybrid Learning Algorithm, Learning Systems, Convolution, Artificial Intelligence, Pattern recognition, Learning Algorithms, Discrimination, Machine learning, Classification (of Information), Discrimination Ability, Convolutional neural networks, 10. No inequality, State-of-the-Art Performance

Prístupová URL adresa: http://scholar.dgist.ac.kr/handle/20.500.11750/2719
https://dl.acm.org/doi/10.1007/s10032-015-0256-9
https://link.springer.com/article/10.1007%2Fs10032-015-0256-9
https://dblp.uni-trier.de/db/journals/ijdar/ijdar19.html#KimCL16
https://link.springer.com/article/10.1007/s10032-015-0256-9/fulltext.html

Intelligent AVR and PSS with Adaptive Hybrid Learning Algorithm

Autori: P. Mitra S.P. Chowdhury S. Chowdhury a ďalší

Zdroj: Mitra, P, Chowdhury, S, Pal, K & Crossley, P A 2008, Intelligent AVR and PSS with adaptive hybrid learning algorithm. in IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES|IEEE Power Energy Soc. Gen. Meet.: Convers. Deliv. Electr. Energy Century, PES. IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES, Pittsburgh, PA, 1/07/08. https://doi.org/10.1109/PES.2008.4596470

Predmety: Adaptive Neuro-Fuzzy Inference System, AVR, Fuzzy logic, Hybrid learning algorithm, PSS, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Sugeno-fuzzy model

Prístupová URL adresa: https://research.manchester.ac.uk/en/publications/da197673-d8c3-45d4-8160-454afd7b18b3
https://doi.org/10.1109/PES.2008.4596470
https://www.research.manchester.ac.uk/portal/en/publications/intelligent-avr-and-pss-with-adaptive-hybrid-learning-algorithm(da197673-d8c3-45d4-8160-454afd7b18b3).html
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004596470
https://ieeexplore.ieee.org/document/4596470/
https://www.escholar.manchester.ac.uk/uk-ac-man-scw:57439

Simulation of torsional shear test results with neuro-fuzzy control system

Autori: Altun, S. Goektepe, A. B. Ansal, A. M. a ďalší

Zdroj: Soil Dynamics and Earthquake Engineering. 29:253-260

Predmety: Liquefaction, Neuro-fuzzy system, Hybrid learning algorithm, Sand, Cyclic test, 0211 other engineering and technologies, 02 engineering and technology, 0201 civil engineering

Prístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0267726108000183
https://hdl.handle.net/11454/41446
https://doi.org/10.1016/j.soildyn.2008.01.008

Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data

Autori: S Hassan J Jaafar MA Khanesar a ďalší

Predmety: ALGORITHM, APPROXIMATION, artificial bee colony optimization, Computer Science, Information Systems, Theory & Methods, DESIGN, extreme learning machine, forecasting, hybrid learning algorithm, Interval type-2 fuzzy logic system, LOGIC SYSTEM, NETWORKS, Science & Technology, Technology

Relation: http://hdl.handle.net/10779/DRO/DU:20860984.v2

Dostupnosť: http://hdl.handle.net/10779/DRO/DU:20860984.v2
https://figshare.com/articles/conference_contribution/Artificial_bee_colony_optimization_of_interval_type-2_fuzzy_extreme_learning_system_for_chaotic_data/20860984

A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems

Autori: S Hassan MA Khanesar J Jaafar a ďalší

Predmety: Electrical engineering not elsewhere classified, Computer Science, Cybernetics, Information Systems, extreme learning machine, hybrid learning algorithm, NSGAII, Science & Technology, Technology, Terms Interval type-2 fuzzy logic system, Intelligent Systems, 4602 Artificial intelligence

Relation: http://hdl.handle.net/10536/DRO/DU:30097775

Dostupnosť: http://hdl.handle.net/10536/DRO/DU:30097775
https://figshare.com/articles/conference_contribution/A_multi-objective_genetic_type-2_fuzzy_extreme_learning_system_for_the_identification_of_nonlinear_dynamic_systems/20853118

Neuro-Fuzzy System Modeling with Self-Constructed Rules and Hybrid Learning

Autori: Ouyang, Chen-Sen

Thesis Advisors: Shie-Jue Lee, Tzung-Pei Hong, Been-Chian Chien, Chih-Hung Wu, Chaur-Heh Hsieh, Tsung-Chuan Huang

Predmety: neural network, fuzzy rule, fuzzy system, fuzzy clustering, function approximation, human object segmentation, hybrid learning algorithm, least squares estimator, neuro-fuzzy, system modeling

Popis súboru: application/pdf

Dostupnosť: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1109104-015634

Hybrid learning algorithm for Gaussian potential function networks

Autori: Full Young Chang Wen-Chang Chen Cheng-Liang Chen

Zdroj: IEE Proceedings D Control Theory and Applications. 140:442

Predmety: 0209 industrial biotechnology, Learning and adaptive systems in artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, hybrid learning algorithm, Gaussian potential function networks, parametric estimation

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/516676
https://doi.org/10.1049/ip-d.1993.0058
https://digital-library.theiet.org/content/journals/10.1049/ip-d.1993.0058

methodology of an

Prispievatelia: The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.supergen-amperes.org/Library/Intelligent+AVR+and+PSS+with+Adaptive+hybrid+learning+algorithm.pdf.

Predmety: Index Terms — AVR, PSS, Fuzzy Logic, Adaptive Neuro- Fuzzy Inference System, Sugeno-Fuzzy Model, Hybrid Learning Algorithm

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.670.4795

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.670.4795
http://www.supergen-amperes.org/Library/Intelligent+AVR+and+PSS+with+Adaptive+hybrid+learning+algorithm.pdf

Sparse Matrix Approach in Neural Networks for Effective Medical Data Sets Classifications

Autori: Masanawa, Sagir Abubakar, Hamza

Zdroj: Journal of Basic and Applied Research in Biomedicine; Vol. 6 No. 2 (2020): Journal of Basic and Applied Research in Biomedicine; 90-97; 2413-7014

Témy: Fuzzy logic, Hybrid Learning Algorithm, Adaptive neuro fuzzy Inference system Feed forward Neural network, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://www.jbarbiomed.com/index.php/home/article/view/30/27
https://www.jbarbiomed.com/index.php/home/article/view/30/27

Sparse Matrix Approach in Neural Networks for Effective Medical Data Sets Classifications

Autori: Masanawa, Sagir Abubakar, Hamza

Zdroj: Journal of Basic and Applied Research in Biomedicine; Vol. 6 No. 2 (2020): Journal of Basic and Applied Research in Biomedicine; 90-97; 2710-1479

Témy: Fuzzy logic, Hybrid Learning Algorithm, Adaptive neuro fuzzy Inference system Feed forward Neural network, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion, Peer-reviewed Article

URL: https://www.jbarbiomed.com/index.php/home/article/view/113/181
https://www.jbarbiomed.com/index.php/home/article/view/113/181