Adaptive Learning Rates in Diagonal Recurrent Neural Network
碩士 === 大同工學院 === 機械工程學系 === 84 === In this paper, the ideal best adaptive learning rates arederived out for diagonal recurrent neural network. The adaptivelearning rates are chosen for fitting error convergence requirements.And th...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
1996
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| Online Access: | http://ndltd.ncl.edu.tw/handle/50105668211095009187 |
| Summary: | 碩士 === 大同工學院 === 機械工程學系 === 84 === In this paper, the ideal best adaptive learning rates
arederived out for diagonal recurrent neural network. The
adaptivelearning rates are chosen for fitting error convergence
requirements.And the convergence requirements are discussed then
modified for a practical control system. Finally the simulation
results are shownin diagonal recurrent neural network based
control system with the modified adaptive learning rates.
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