Fuzzy mean point clustering neural network

Abstract

Fuzzy mean point clustering neural network (FMPCNN) is proposed with its learning algorithm, which utilizes fuzzy sets as pattern clusters. The performance of FMPCNN when verified with Fisher Iris data, it is found superior to Simpson's fuzzy min-max neural network and fuzzy hyperline segment clustering neural network (FHLSCNN) proposed by Kulkarni and Sontakke.