|
|
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 oer 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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|