TRAINING THE MULTIFEEDBACK-LAYER NEURAL NETWORK USING THE PARTICLE SWARM OPTIMIZATION ALGORITHM
dc.authorid | Aksu, Inayet Ozge/0000-0002-0963-2982 | |
dc.contributor.author | Aksu, Inayet Ozge | |
dc.contributor.author | Coban, Ramazan | |
dc.date.accessioned | 2025-01-06T17:43:45Z | |
dc.date.available | 2025-01-06T17:43:45Z | |
dc.date.issued | 2013 | |
dc.description | 10th International Conference on Electronics, Computer and Computation (ICECCO) -- NOV 07-09, 2013 -- Turgut Ozal Univ, Ankara, TURKEY | |
dc.description.abstract | In this study, the Multifeedback-Layer Neural Network (MFLNN) weights are trained by the Particle Swarm Optimization (PSO). This method (MFLNN-PSO) is applied to two different problems to prove accomplishment of the study. Firstly, a chaotic time series prediction problem is used to test the MFLNN-PSO. Also, the method is used for identification of a non-linear dynamic system. This study shows that the MFLNN-PSO can be used for dynamic system identification as well as controller design. | |
dc.description.sponsorship | Inst Elect & Elect Engineers | |
dc.identifier.endpage | 175 | |
dc.identifier.isbn | 978-1-4799-3343-3 | |
dc.identifier.startpage | 172 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14669/2767 | |
dc.identifier.wos | WOS:000336616500044 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.relation.ispartof | 2013 International Conference on Electronics, Computer and Computation (Icecco) | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_20241211 | |
dc.subject | Multifeedback-Layer Neural Network | |
dc.subject | recurrent neural networks | |
dc.subject | Particle Swarm Optimization | |
dc.subject | dynamic system identification | |
dc.subject | training procedure | |
dc.title | TRAINING THE MULTIFEEDBACK-LAYER NEURAL NETWORK USING THE PARTICLE SWARM OPTIMIZATION ALGORITHM | |
dc.type | Conference Object |