A neural network model using finite physical quantities and its realization on LSIs

Minoru Watanabe; Fuminori Kobayashi

doi:10.11499/sicep.2002.0.410.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.410.0

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

A neural network model using finite physical quantities and its realization on LSIs

Minoru Watanabe, Fuminori Kobayashi

著者情報

キーワード: Neural Networks, Finite physical quantities, VLSIs

会議録・要旨集フリー

p. 410

詳細

抄録

A CMOS circuit for a finite physical quantities neural network model is proposed. The circuit can precisely express the movement of the finite physical quantities and quickly execute the enormous iterative calculations in the finite physical quantities model. This paper presents a HSPICE simulation result for pattern recognition and estimation of the circuit.

責任著者(Corresponding author)

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