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Proceedings Paper

Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations
Author(s): Zhenquan Li
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Paper 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.

Paper Details

Date Published: 29 April 2003
PDF: 5 pages
Proc. SPIE 5058, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, (29 April 2003); doi: 10.1117/12.509757
Show Author Affiliations
Zhenquan Li, Univ. of Auckland (New Zealand)


Published in SPIE Proceedings Vol. 5058:
Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002

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