Improvements of back propagation algorithm performance by adaptively changing gain, momentum and learning rate
In some practical Neural Network (NN) applications, fast response to external events within enormously short time is highly demanded. However, by using back propagation (BP) based on gradient descent optimization method obviously not satisfy in several application due to serious problems associate w...
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| Pengarang-pengarang Utama: | , , , |
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| Format: | Artikel |
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| Capaian Atas Talian: | http://eprints.uthm.edu.my/2964/ |
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