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Information Journal Paper

Title

UTILIZING A NEW FEED-BACK FUZZY NEURAL NETWORK FOR SOLVING A SYSTEM OF FUZZY EQUATIONS

Pages

  299-307

Keywords

FUZZY FEED-BACK NEURAL NETWORK (FFNN)Q2

Abstract

 This paper intends to offer a new iterative method based on artificial neural networks for finding solution of a fuzzy equations system. Our proposed fuzzified neural network is a five-layer feed-back neural network that corresponding connection weights to output layer are fuzzy numbers. This architecture of artificial neural networks, can get a real input vector and calculates its corresponding fuzzy output. In order to find the approximate solution of the fuzzy system that supposedly has a real solution, first a COST FUNCTION is defined 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 input signals. The present method is illustrated by several examples with computer simulations.

Cites

References

Cite

APA: Copy

JAFARIAN, A., & MEASOOMY NIA, S.. (2013). UTILIZING A NEW FEED-BACK FUZZY NEURAL NETWORK FOR SOLVING A SYSTEM OF FUZZY EQUATIONS. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 5(4), 299-307. SID. https://sid.ir/paper/231779/en

Vancouver: Copy

JAFARIAN A., MEASOOMY NIA S.. UTILIZING A NEW FEED-BACK FUZZY NEURAL NETWORK FOR SOLVING A SYSTEM OF FUZZY EQUATIONS. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2013;5(4):299-307. Available from: https://sid.ir/paper/231779/en

IEEE: Copy

A. JAFARIAN, and S. MEASOOMY NIA, “UTILIZING A NEW FEED-BACK FUZZY NEURAL NETWORK FOR SOLVING A SYSTEM OF FUZZY EQUATIONS,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 5, no. 4, pp. 299–307, 2013, [Online]. Available: https://sid.ir/paper/231779/en

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