Wave-parallel neural networks using orthogonal sequences

Y. Yuminaka; Y. Sasaki; T. Aoki; T. Higuchi

doi:10.1049/el:19970443

Wave-parallel neural networks using orthogonal sequences

Y. Yuminaka, Y. Sasaki, T. Aoki, T. Higuchi

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Abstract

A wave-parallel computing (WPC) technique is proposed to address the interconnection problem in massively interconnected neural architectures. The fundamental concepts are the multiplexing of several signals onto a single line, and their wave-parallel processing without decomposition. An application of WPC to neural networks is discussed, with emphasis on the reduction in the number of interconnections.

Original language	English
Pages (from-to)	690-691
Number of pages	2
Journal	Electronics Letters
Volume	33
Issue number	8
DOIs	https://doi.org/10.1049/el:19970443
Publication status	Published - 1997 Apr 10

Keywords

Computer architecture
Neural networks

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10.1049/el:19970443

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title = "Wave-parallel neural networks using orthogonal sequences",

abstract = "A wave-parallel computing (WPC) technique is proposed to address the interconnection problem in massively interconnected neural architectures. The fundamental concepts are the multiplexing of several signals onto a single line, and their wave-parallel processing without decomposition. An application of WPC to neural networks is discussed, with emphasis on the reduction in the number of interconnections.",

keywords = "Computer architecture, Neural networks",

author = "Y. Yuminaka and Y. Sasaki and T. Aoki and T. Higuchi",

year = "1997",

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AU - Yuminaka, Y.

AU - Sasaki, Y.

AU - Aoki, T.

AU - Higuchi, T.

PY - 1997/4/10

Y1 - 1997/4/10

N2 - A wave-parallel computing (WPC) technique is proposed to address the interconnection problem in massively interconnected neural architectures. The fundamental concepts are the multiplexing of several signals onto a single line, and their wave-parallel processing without decomposition. An application of WPC to neural networks is discussed, with emphasis on the reduction in the number of interconnections.

AB - A wave-parallel computing (WPC) technique is proposed to address the interconnection problem in massively interconnected neural architectures. The fundamental concepts are the multiplexing of several signals onto a single line, and their wave-parallel processing without decomposition. An application of WPC to neural networks is discussed, with emphasis on the reduction in the number of interconnections.

KW - Computer architecture

KW - Neural networks

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EP - 691

JO - Electronics Letters

JF - Electronics Letters

IS - 8

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Wave-parallel neural networks using orthogonal sequences

Abstract

Keywords

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