Fuzzified neural network based on fuzzy number operations |
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| Authors: | Zhenquan Li Vojislav Kecman Akira Ichikawa |
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| Affiliation: | a Department of Mechanical Engineering, University of Auckland, Private Bag 92019, Auckland, New Zealand;b Department of Electrical and Electronic Engineering, Shizuoka University, Hamamatsu 432, Japan |
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| Abstract: | The fuzzified neural network based on fuzzy number operations is presented as a powerful modelling tool here. We systematically introduce ideas and concepts of a novel neural network based on fuzzy number operations. First we suggest how to compute the results of addition, subtraction, multiplication and division for two fuzzy numbers. Second we propose a learning algorithm, and present some ideas about the choice of fuzzy weights and fuzzy biases and a numerical scheme for the calculation of outputs of the fuzzified neural network. Finally, we show some results of computer simulations. |
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| Keywords: | Fuzzified neural networks Fuzzy numbers Learning |
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