>
Fa   |   Ar   |   En
   Utilizing A New Feed-Back Fuzzy Neural Network For Solving A System of Fuzzy Equations  
   
نویسنده Jafarian A. ,Measoomy Nia S.
منبع International Journal Of Industrial Mathematics - 2013 - دوره : 5 - شماره : 4 - صفحه:299 -307
چکیده    This paper intends to o er a new iterative method based on articial neural networks for ndingsolution of a fuzzy equations system. our proposed fuzzied neural network is a ve-layer feed-back neural network that corresponding connection weights to output layer are fuzzy numbers. thisarchitecture of articial neural networks, can get a real input vector and calculates its correspondingfuzzy output. in order to nd the approximate solution of the fuzzy system that supposedly has areal solution, rst a cost function is dened for the level sets of the fuzzy network and target output.then a learning algorithm based on the gradient descent method is used to adjust the crisp inputsignals. the present method is illustrated by several examples with computer simulations.
کلیدواژه System Of Fuzzy Equations ,Fuzzy Feed-Back Neural Network ,Cost Function ,Learning Algorithm.
آدرس Islamic Azad University, ایران, Islamic Azad University, ایران
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved