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Solving Fuzzy Linear System by Fuzzy Neural Network and Applications in Economics
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نویسنده
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Otadi Mahmood ,Mosleh Maryam ,Abbasbandy Saeed
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منبع
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journal of mathematical extension - 2011 - دوره : 5 - شماره : 2(1) - صفحه:47 -66
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چکیده
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In this paper, a novel hybrid method based on fuzzy neural network for estimate fuzzy coefficients (parameters) of fuzzy linear supply and demand function, 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 functionof the fuzzy neural network is proposed.
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کلیدواژه
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Fuzzy neural networks ,Fuzzy number ,learning algorithm.
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آدرس
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Islamic Azad University-Firoozkooh Branch, Department of Mathematics, ایران, Islamic Azad University-Firoozkooh Branch, Department of Mathematics, ایران, islamic azad university, Department of Mathematics, ایران
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پست الکترونیکی
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abassbandy@yahoo.com
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Authors
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