Level by Level Learning for Artificial Neuronal Groups

Hu Shengfa; Yan Pingfan

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Level by Level Learning for Artificial Neuronal Groups

更新时间：2025-12-08

- Level by Level Learning for Artificial Neuronal Groups
- Acta Electronica Sinica Issue 10, Pages: 39-43(1992)
- 作者机构：
  
  1. 清华大学自动化系
  2. 清华大学自动化系北京100084
- 作者简介：
- 基金信息：
- DOI：
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- Published：1992
- 稿件说明：
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[1]胡胜发,阎平凡.人工神经元群的逐层学习[J].电子学报,1992(10):39-43+81.

Hu Shengfa, Yan Pingfan. Level by Level Learning for Artificial Neuronal Groups[J]. Acta Electronica Sinica, 1992, (10): 39-43.
[1]胡胜发,阎平凡.人工神经元群的逐层学习[J].电子学报,1992(10):39-43+81. DOI：

Hu Shengfa, Yan Pingfan. Level by Level Learning for Artificial Neuronal Groups[J]. Acta Electronica Sinica, 1992, (10): 39-43. DOI：

摘要

本文提出了人工神经元群的逐层学习方法.该方法所建议的学习过程与人类个体及社会知识的增长过程较为接近

并且可以改善网络系统的泛化能力

提高系统的学习效率.本文对一些具体问题进行计算机仿真研究。

Abstract

Level by Level Learning for Artificial Neuronal Groups is proposed in this paper. The learning process suggested by the method is more similar to the process of knowledge growth for human individual and society

and can improve generalization ability and learning efficiency for network. This paper carries out some case studies.

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