Particle swarm optimization method in initialization of wavelet neural network model for fed-batch bioprocesses
Wavelet neural network is an alternative to artificial neural network in empirical modeling of industrial processes due to efficient initialization of network parameters that reduces training time. In this paper, particle swarm optimization methods are used for initialization of dilation and transla...
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主要な著者: | Mamat, Nor Hana, Mohd Noor, Samsul Bahari, Che Soh, Azura, Taip, Farah Saleena, Ab Rashid, Ahmad Hazri, Jufika Ahmad, Nur Liyana, Mohd Yusuff, Ishak |
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フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
IEEE
2018
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オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/68438/1/Particle%20swarm%20optimization%20method%20in%20initialization%20of%20wavelet%20neural%20network%20model%20for%20fed-batch%20bioprocesses.pdf http://psasir.upm.edu.my/id/eprint/68438/ |
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