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- W2046150861 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." @default.
- W2046150861 created "2016-06-24" @default.
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- W2046150861 date "2013-11-01" @default.
- W2046150861 modified "2023-09-25" @default.
- W2046150861 title "Training the multifeedback-layer neural network using the Particle Swarm Optimization algorithm" @default.
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- W2046150861 doi "https://doi.org/10.1109/icecco.2013.6718256" @default.
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