SOLVING FUZZY EQUATIONS USING NEURAL NETS WITH A NEW LEARNING ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

JAFARIAN AHMAD; MEASOOMY NIA SAFA; JAFARI RAHELEH

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2012 | Volume:3 | Issue:4 Page(s): 33-45

Download Full-Text

View:

306

Download:

Cites:

Information Journal Paper

Title

SOLVING FUZZY EQUATIONS USING NEURAL NETS WITH A NEW LEARNING ALGORITHM

Author(s)

JAFARIAN AHMAD | MEASOOMY NIA SAFA | JAFARI RAHELEH | Issue Writer Certificate

Keywords

FUZZY EQUATIONS

FUZZY FEED-FORWARD NEURAL NETWORK (FFNN)

COST FUNCTION

LEARNING ALGORITHM

Abstract

Artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. This paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. For this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. The suggested neural net can adjust the weights using a LEARNING ALGORITHM that based on the gradient descent method. The proposed method is illustrated by several examples with computer simulations.

Cites

No record.

References

Cite

APA: Copy

JAFARIAN, AHMAD, MEASOOMY NIA, SAFA, & JAFARI, RAHELEH. (2012). SOLVING FUZZY EQUATIONS USING NEURAL NETS WITH A NEW LEARNING ALGORITHM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 3(4), 33-45. SID. https://sid.ir/paper/328711/en

Vancouver: Copy

JAFARIAN AHMAD, MEASOOMY NIA SAFA, JAFARI RAHELEH. SOLVING FUZZY EQUATIONS USING NEURAL NETS WITH A NEW LEARNING ALGORITHM. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2012;3(4):33-45. Available from: https://sid.ir/paper/328711/en

IEEE: Copy

AHMAD JAFARIAN, SAFA MEASOOMY NIA, and RAHELEH JAFARI, “SOLVING FUZZY EQUATIONS USING NEURAL NETS WITH A NEW LEARNING ALGORITHM,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 3, no. 4, pp. 33–45, 2012, [Online]. Available: https://sid.ir/paper/328711/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops