Study on Variable-Width Momentum and Output Types in the Backpropagation Learning Algorithm in Neural Networks for Classification Problems
碩士 === 國立臺灣科技大學 === 電機工程系 === 93 === Two often considered issues for neural networks trained by the backpropagation (BP) algorithm are the convergence rate and the generalization ability. The slow convergence rate is a severely drawback of BP, and the problem of premature saturation is the main reas...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2005
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Online Access: | http://ndltd.ncl.edu.tw/handle/49688798408345438564 |