Generalized Information Storing Principle and Higher-Order Generalized Neural Networks

胡瑞敏; 徐正全; 姚天任; 李德仁

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Generalized Information Storing Principle and Higher-Order Generalized Neural Networks

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- Generalized Information Storing Principle and Higher-Order Generalized Neural Networks
- Acta Electronica Sinica Issue 7, (1996)
- 作者机构：
  
  1. 武汉测绘科技大学航测与遥感信息工程学院
  2. 华中理工大学电子与信息工程系
  3. 武汉测绘科技大学航测与遥感信息工程学院华中理工大学电子与信息工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1996
- 稿件说明：
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[1]胡瑞敏,徐正全,姚天任,李德仁.广义知识存储原理与高阶广义神经网络[J].电子学报,1996(07):59-65.

胡瑞敏, 徐正全, 姚天任, et al. Generalized Information Storing Principle and Higher-Order Generalized Neural Networks[J]. Acta Electronica Sinica, 1996, (7).
[1]胡瑞敏,徐正全,姚天任,李德仁.广义知识存储原理与高阶广义神经网络[J].电子学报,1996(07):59-65. DOI：

胡瑞敏, 徐正全, 姚天任, et al. Generalized Information Storing Principle and Higher-Order Generalized Neural Networks[J]. Acta Electronica Sinica, 1996, (7). DOI：

摘要

本文在仔细分析神经网络知识存储方式的基础止，提出了高阶广义神经网络的概念和构成原则，讨论了其中一种典型的智能神经元模型以及据此实现的高阶广义神经网络的各项性能，最后将其与标准的ＢＰ算法进行了比较。

Abstract

Based on analysis about neural networks’ information storing principle

the concept and principle of higher-order generalized neural networks are proposed

of which a typical intelligent neuron model and the characteristics of corresponding higher-order generalized neural networks are disscussed and also compared with standard BP algorithm.

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