TY  - JOUR
T1  - A Learning Algorithm of Fuzzy Neural Networks for Solving A System of Fuzzy Equations
AU - Jafarian, A. AU - Nia, S. Measoomy 
JO  - International Journal of Soft Computing
VL  - 8
IS  - 1
SP  - 20
EP  - 28
PY  - 2013
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2013.20.28
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2013.20.28
KW  - System of fuzzy equations
KW  -Fuzzy Feed forward Neural Networks (FFNNs)
KW  -cost function
KW  -simulation
KW  -output
AB  - Fuzzy equations system plays a major role in various areas, 
  therefore a new method for finding a crisp solution for this system is presented. 
  So, researchers have applied an architecture of fuzzy neural network in which 
  the corresponding connection weights are real numbers. The proposed neural net 
  can get a fuzzy input vector and calculates its corresponding fuzzy output. 
  Next a learning algorithm based on the gradient descent method has been defined 
  for adjusting the connection weights. The given approach has been illustrated 
  by several examples with computer simulations.
ER  -