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

Zhenquan Li

doi:10.1117/12.509757

29 April 2003 Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations

Zhenquan Li

Proceedings Volume 5058, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002; (2003) https://doi.org/10.1117/12.509757
Event: Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, 2002, Beijing, China

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.

Citation Download Citation

Zhenquan Li "Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations", Proc. SPIE 5058, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, (29 April 2003); https://doi.org/10.1117/12.509757

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