Design of a Neural-Based A/D Converter Using Modified Hopfield Network

Bang W. Lee; Bing J. Sheu

doi:10.1109/4.34101

Design of a Neural-Based A/D Converter Using Modified Hopfield Network

Bang W. Lee, Bing J. Sheu

University of Southern California

研究成果: 期刊稿件 › 文章 › 同行評審

41 引文斯高帕斯（Scopus）

摘要

The architecture associated with the Hopfield network can be utilized in the VLSI realization of several important engineering optimization functions for the signal processing purpose. The properties of local minima in the energy function of Hopfield networks are investigated. A novel design technique to eliminate these local minima in the Hopfield neural-based analog-to-digital (A/D) converter has been developed. Experimental data agree well with theoretical results in the output characteristics of the neural-based data converter.

原文	英語
頁（從 - 到）	1129-1135
頁數	7
期刊	IEEE Journal of Solid-State Circuits
卷	24
發行號	4
DOIs	https://doi.org/10.1109/4.34101
出版狀態	已出版 - 08 1989
對外發佈	是

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Design of a Neural-Based A/D Converter Using Modified Hopfield Network

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