BP Algorithm Improvement Based-on Clouds Model
Chai Ri · Jisuanji fangzhen · 2002
Clouds model is one for transformation between qualitative and quantitative knowledge,whose representation reflects fuzziness and randomness contained in linguistic concepts.In this paper,a clouds model is applied to BP algorithm improvement ,which avoids BP ANN trapping to local least value.This learning rate self-tunning method is based on clouds model and input parameter domain partition.Finally,this algorithm is simulated under complex non-linear classfication circumstances.