Evaluation of fuzzy regression models by fuzzy neural network |
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Authors: | M Mosleh M Otadi S Abbasbandy |
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Institution: | a Department of Mathematics, Islamic Azad University, Firuozkooh Branch, Firuozkooh, Iran b Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran 14515/775, Iran |
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Abstract: | In this paper, a novel hybrid method based on fuzzy neural network for approximate fuzzy coefficients (parameters) of fuzzy linear and nonlinear regression models with fuzzy output and crisp inputs, is presented. Here a neural network is considered as a part of a large field called neural computing or soft computing. Moreover, in order to find the approximate parameters, a simple algorithm from the cost function of the fuzzy neural network is proposed. Finally, we illustrate our approach by some numerical examples. |
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Keywords: | Fuzzy neural networks Fuzzy regression model Fuzzy number Feedforward neural network Learning algorithm |
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