Fuzzy neural network with fast backpropagation learning

Zhiling Wang; Marco De Sario; Andrea Guerriero; Raffaele Mugnuolo

doi:10.1117/12.205255

28 March 1995 Fuzzy neural network with fast backpropagation learning

Zhiling Wang, Marco De Sario, Andrea Guerriero, Raffaele Mugnuolo

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205255
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Neural filters with multilayer backpropagation network have been proved to be able to define mostly all linear or non-linear filters. Because of the slowness of the networks' convergency, however, the applicable fields have been limited. In this paper, fuzzy logic is introduced to adjust learning rate and momentum parameter depending upon output errors and training times. This makes the convergency of the network greatly improved. Test curves are shown to prove the fast filters' performance.

Citation Download Citation

Zhiling Wang, Marco De Sario, Andrea Guerriero, and Raffaele Mugnuolo "Fuzzy neural network with fast backpropagation learning", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205255

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