On the Perceptron Convergence Theorem of the Monolithic Fuzzy Neural Networks

LIANG Jiu-zhen; HE Xin-gui; HUANG De-shuang

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On the Perceptron Convergence Theorem of the Monolithic Fuzzy Neural Networks

更新时间：2025-07-16

- On the Perceptron Convergence Theorem of the Monolithic Fuzzy Neural Networks
- Acta Electronica Sinica Vol. 30, Issue 3, Pages: 407-409(2002)
- 作者机构：
  
  1. 浙江师范大学计算机科学研究所,浙江,金华,321004
  2. 北京系统工程研究所,北京,100101
  3. 浙江师范大学计算机科学研究所浙江金华,321004
  4. 北京系统工程研究所北京,100101
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183
- Published：2002
- 稿件说明：
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LIANG Jiu-zhen, HE Xin-gui, HUANG De-shuang. On the Perceptron Convergence Theorem of the Monolithic Fuzzy Neural Networks[J]. Acta Electronica Sinica, 2002, 30(3): 407-409.
DOI：

LIANG Jiu-zhen, HE Xin-gui, HUANG De-shuang. On the Perceptron Convergence Theorem of the Monolithic Fuzzy Neural Networks[J]. Acta Electronica Sinica, 2002, 30(3): 407-409. DOI：

摘要

考虑单体模糊神经网络模型

讨论了单体模糊神经网络的感知机收敛定理与传统神经网络感知机收敛定理的关系

指出了在证明单体模糊神经网络的感知机收敛定理时存在的问题

提出了两种修改方案

即给出了两个改进的感知机收敛定理

并给出相应的证明和说明.

Abstract

The monolithic fuzzy neural networks model is considered.The contrasts are showed between the monolithic fuzzy neural networks and the traditional neural networks on the perceptron convergence theorem.Some issues are discussed on the perceptron convergence theorem of monolithic fuzzy neural networks.Two improving methods are investigated

which are presented as two modified perceptron convergence theorems

and the corresponding arguments or explanations support these modifications.

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