Learning enhancement of radial basis function network with particle swarm optimization

Learning enhancement of radial basis function network with particle swarm optimization

Back propagation (BP) algorithm is the most common technique in Artificial Neural Network (ANN) learning, and this includes Radial Basis Function Network. However, major disadvantages of BP are its convergence rate is relatively slow and always being trapped at the local minima. To overcome this pro...

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書目詳細資料
主要作者:	Sultan Noman, Qasem Mohammed
格式:	Thesis
語言:	English
出版:	2008
主題:	QA75 Electronic computers Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/18057/1/SultanNomanQasemMohammedMFM2008.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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