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JRM Vol.15 No.2 pp. 136-142
doi: 10.20965/jrm.2003.p0136
(2003)

Paper:

An FPGA Implementation of Finite Physical Quantity Neural Network

Takashi Sotohebo, Minoru Watanabe, and Funtinori Kobayashi

Faculty of Information, Department of Control Engineering and Computer Science, Kyushyu Institute of Technology, 680-4 Kawazu, Iizuka, 829-8502 Japan

Received:
October 24, 2002
Accepted:
February 10, 2003
Published:
April 20, 2003
Keywords:
FPGAs, neural networks, self-organization
Abstract

We propose installing a finite physical quantity neural network model on a high-density field programmable gate array (FPGA) at high speed by reducing multipliers. We could thereby downsize circuits without loss of precision. We evaluated its installation and experimental results for image recognition.

Cite this article as:
Takashi Sotohebo, Minoru Watanabe, and Funtinori Kobayashi, “An FPGA Implementation of Finite Physical Quantity Neural Network,” J. Robot. Mechatron., Vol.15, No.2, pp. 136-142, 2003.
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