Study of K+NN Assistor, Principle and Control Applications

碩士 === 大葉大學 === 電機工程學系 === 96 === K+NN assistor is based on a neural network(NN), with five important scaling factors SE, SDE, SU, Ka, Kb, to enlarge each signals. SE is the gain for error input of NN, SDE is the gain for error rate input of NN, SU is the gain for NN ouput, Kb is the gain parallel w...

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Bibliographic Details
Main Authors: Tsai Yi Ting, 蔡宜廷
Other Authors: 周鵬程
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/56245754394703863228