FPGA Implementation of Bidirectional Associative Memory Via Simultaneous Perturbation Rule

Masatoshi Wakamura; Yutaka Maeda

doi:10.11499/sicep.2002.0.360.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.360.0

会議情報

主催: The Society of Instrument and Control Engineers

共催: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

FPGA Implementation of Bidirectional Associative Memory Via Simultaneous Perturbation Rule

Masatoshi Wakamura, Yutaka Maeda

著者情報

キーワード: Implementation, Simultaneous perturbation learning rule

会議録・要旨集フリー

p. 360

詳細

抄録

Bidirectional Associative Memory (BAM) is a typical example of recurrent neural networks. Software implementation of BAM does not obtain sufficient speed in the operation. Therefore, hardware implementation, especially, FPGA implementation of BAM is very promising. Originally, the weights of BAM are calculated by patterns to be memorized. However, we adopt a recursive learning method via the simultaneous perturbation learning rule.

責任著者(Corresponding author)

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