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Information Seminar Paper

Title

BIFURCATION ANALYSIS OF A SIMPLIFIED BAM NEURAL NETWORK MODEL WITH TIME DELAYS

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Abstract

 IN THIS PAPER, A FIVE-NEURON BIDIRECTIONAL ASSOCIATIVE MEMORY (BAM) NEURAL NETWORK WITH TWO TIME DELAYS IS STUDIED. SINCE THE STUDY OF HOPF BIFURCATION IS VERY IMPORTANT FOR THE DESIGN AND APPLICATION OF BAM NEURAL NETWORKS, WE INVESTIGATE THAT HOPF BIFURCATION OCCURS AND A FAMILY OF PERIODIC SOLUTIONS APPEAR WHEN THE SUM OF TWO DELAYS PASSES THROUGH A CRITICAL VALUE.

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    APA: Copy

    Javidmanesh, Elham, & AFSHARNEZHAD, ZAHRA. (2012). BIFURCATION ANALYSIS OF A SIMPLIFIED BAM NEURAL NETWORK MODEL WITH TIME DELAYS. ANNUAL IRANIAN MATHEMATICS CONFERENCE. SID. https://sid.ir/paper/926356/en

    Vancouver: Copy

    Javidmanesh Elham, AFSHARNEZHAD ZAHRA. BIFURCATION ANALYSIS OF A SIMPLIFIED BAM NEURAL NETWORK MODEL WITH TIME DELAYS. 2012. Available from: https://sid.ir/paper/926356/en

    IEEE: Copy

    Elham Javidmanesh, and ZAHRA AFSHARNEZHAD, “BIFURCATION ANALYSIS OF A SIMPLIFIED BAM NEURAL NETWORK MODEL WITH TIME DELAYS,” presented at the ANNUAL IRANIAN MATHEMATICS CONFERENCE. 2012, [Online]. Available: https://sid.ir/paper/926356/en

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