基于神经网络的图搜索机模式识别

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI:10.1109/ICASSP.1988.197062

H. Na, S. Glinski

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引用次数: 4

摘要

Hopfield网络模式识别算法已在单个GSM(图搜索机)上实现。作者报告了用于实现算法的方法以及与竞争架构相比的算法性能。研究表明，GSM为神经网络的研究和开发提供了一种可行的替代架构

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Neural net based pattern recognition on the graph search machine

The Hopfield net algorithm for pattern recognition has been implemented on a single GSM (graph search machine). The authors report on the methods used to implement the algorithm as well as on the algorithm performance as compared with competing architectures. It is shown that the GSM provides a viable alternative architecture for neural net research and development.<>

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ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing

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