Applications of Fuzzy Neural Networks for Grading

C.C. Wang, Y. Kang, Y.J. Chang, and Y.P. Chang (Taiwan)


Grading, Back-propagation neural networks, Fuzzy neural network, Fuzzy set approach.


A synthetic grading method composed of back propagation neural networks (BPNN) and fuzzy logic is presented. Epoches and grading results are compared among three methods including fuzzy set approach (FSA), BPNN and fuzzy neural networks (FNN) in both examples which are graduate dissertation and bearing design cases.

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