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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 timeconsuming. 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 language  English 

Title of host publication  Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations 
Editors  Gong Xin Shen, Soyoung S. Cha, FuPen Chiang, Carolyn R. Mercer 
Publisher  SPIE Digital Library 
Pages  246250 
Volume  5058 
Publication status  Published  29 Apr 2003 
Event  Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002  Beijing, China Duration: 03 Sept 2002 → 06 Sept 2002 
Conference
Conference  Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002 

Country/Territory  China 
City  Beijing 
Period  03/09/02 → 06/09/02 
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Dive into the research topics of 'Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations'. Together they form a unique fingerprint.Activities
 2 Peer review responsibility, including review panel or committee

Mathematics (Journal)
Li, Z. (Reviewer)
10 Dec 2023 → 10 Jan 2024Activity: Publication peerreview and editorial work › Peer review responsibility, including review panel or committee

Mathematical and Compuational Applications (Journal)
Li, Z. (Reviewer)
01 Sept 2023 → 30 Oct 2023Activity: Publication peerreview and editorial work › Peer review responsibility, including review panel or committee