Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Fuzzified neural network based on fuzzy number operations may be one of powerful fuzzified neural networks. We introduced a fuzzified neural network basd on fuzzy number operations which approximates targets by choosing the shapes of the weights and the biases and calculating the left, mean and right values of each weight or bias. However, as we have pointed out, the learning algorithm is a little time-consuming. We propose a parallel learning algorithm for the fuzzified neural network in this paper. The parallel learning algorithm works well for the fuzzified neural network.
Original languageEnglish
Title of host publicationParallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations
EditorsGong Xin Shen, Soyoung S. Cha, Fu-Pen Chiang, Carolyn R. Mercer
PublisherSPIE Digital Library
Pages246-250
Volume5058
Publication statusPublished - 29 Apr 2003
EventOptical Technology and Image Processing for Fluids and Solids Diagnostics 2002 - Beijing, China
Duration: 03 Sep 200206 Sep 2002

Conference

ConferenceOptical Technology and Image Processing for Fluids and Solids Diagnostics 2002
Country/TerritoryChina
CityBeijing
Period03/09/0206/09/02

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