Fuzzy polynomial regression with fuzzy neural networks |
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Authors: | M Mosleh M Otadi S Abbasbandy |
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Institution: | 1. Department of Mathematics, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran;2. Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran |
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Abstract: | Recently, fuzzy linear regression is considered by Mosleh et al. 1]. In this paper, a novel hybrid method based on fuzzy neural network for approximate fuzzy coefficients (parameters) of fuzzy polynomial 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: | Neural network Fuzzy polynomial regression model Learning algorithm |
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