IMPROVEMENT OF ASSOCIATION NEURAL NETWORK BY ATTRACTOR DYNAMIC

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.

SEYYEDSALEHI SEYYEDE ZOHREH; SEYYED SALEHI SEYYED ALI

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

Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2012 | Issue:19

Download Full-Text

View:

108

Download:

Information Seminar Paper

Title

IMPROVEMENT OF ASSOCIATION NEURAL NETWORK BY ATTRACTOR DYNAMIC

Author(s)

SEYYEDSALEHI SEYYEDE ZOHREH | SEYYED SALEHI SEYYED ALI

Keywords

Not Registered.

Abstract

IN THIS PAPER,WE PROPOSE A NEW METHOD IN PRINCIPAL COMPONENTS ANALYSIS NEURAL NETWORK FOR FACE NORMALIZATION IN WHICH IS USED ATTRACTOR DYNAMICS.PRINCIPAL COMPONENTS ANALYSIS NEURAL NETWORK IS USED FOR PRINCIPAL COMPONENTS EXTRACTION AND NONLINEAR SIGNAL PROCESSING AND NORMALIZATION.THE FIRST REASON FOR USAGE OF THEM IS LEARNING AND SIMULATION OF COMPLEX CONNECTIONS AND SECOND THESE CONNECTIONS ARE LEARNED BY MEANS OF STRUCTURE IN WHICH THE INFORMATION IS ANALYZED AND DISTRIBUTED ON NEURONS AND WEIGHTS AND THEN COMBINATION OF RESULTS IS USED FOR OUTPUT. INDEED THIS NETWORK MAKES INTERPOLATION BETWEEN INFORMATION OF INPUT AND ITS OWN CONNECTIONS. BUT THIS NETWORK COULDN'T EXPLAIN ATTRACTIVE BEHAVIOR THAT IS USED IN BRAIN FUNCTION OBVIOUSLY. THIS PAPER CHANGES THE STRUCTURE OF PREVIOUS NETWORK LITTLE AND ABLE IT HAS ATTRACTIVE BEHAVIOR. RESULTS SHOW THAT PROPOSED STRUCTURE HAS A GOOD PERFORMANCE TO FACE IMAGE RETRIEVAL IN DIFFERENT CONDITIONS

Cites

No record.

References

No record.

Cite

APA: Copy

SEYYEDSALEHI, SEYYEDE ZOHREH, & SEYYED SALEHI, SEYYED ALI. (2012). IMPROVEMENT OF ASSOCIATION NEURAL NETWORK BY ATTRACTOR DYNAMIC. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/926128/en

Vancouver: Copy

SEYYEDSALEHI SEYYEDE ZOHREH, SEYYED SALEHI SEYYED ALI. IMPROVEMENT OF ASSOCIATION NEURAL NETWORK BY ATTRACTOR DYNAMIC. 2012. Available from: https://sid.ir/paper/926128/en

IEEE: Copy

SEYYEDE ZOHREH SEYYEDSALEHI, and SEYYED ALI SEYYED SALEHI, “IMPROVEMENT OF ASSOCIATION NEURAL NETWORK BY ATTRACTOR DYNAMIC,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2012, [Online]. Available: https://sid.ir/paper/926128/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops