Very-High-Speed Analog Neural Network LSI Using Super Self-Aligned Si Bipolar Process Technology

Shigeki AISAWA  Kazuhiro NOGUCHI  Masafumi KOGA  Takao MATSUMOTO  Yoshihito AMEMIYA  

Publication
IEICE TRANSACTIONS on Electronics   Vol.E77-C   No.6   pp.1005-1008
Publication Date: 1994/06/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Integrated Electronics
Keyword: 
neural network,  analog LSI,  optical WDM,  

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Summary: 
A very-high-speed ten-neuron analog neural network LSI chip is fabricated for the first time using super self-aligned Si bipolar process technology. The LSI consists of ten neurons and 100 electrically modifiable synaptic weights. The neural network nonlinear mapping function to solve the four-bit parity problem is successfully demonstrated at 150 mega-patterns/sec. The operation speed of this neural network is, to the best of the authors, knowledge, the fastest yet reported.