Monolithic Fuzzy Neural Network（MFNNs）：Application in Intelligent Control＆VLSI Realization

王振峰; 靳东明; 李志坚

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Monolithic Fuzzy Neural Network（MFNNs）：Application in Intelligent Control＆VLSI Realization

更新时间：2025-12-08

- Monolithic Fuzzy Neural Network（MFNNs）：Application in Intelligent Control＆VLSI Realization
- Acta Electronica Sinica Issue 5, (1997)
- 作者机构：
  
  清华大学
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183
- Published：1997
- 稿件说明：
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[1]王振峰,靳东明,李志坚.单体模糊神经网络：在智能控制中的应用及VLSI实现[J].电子学报,1997(05):79-81+85.

王振峰, 靳东明, 李志坚. Monolithic Fuzzy Neural Network（MFNNs）：Application in Intelligent Control＆VLSI Realization[J]. Acta Electronica Sinica, 1997, (5).
[1]王振峰,靳东明,李志坚.单体模糊神经网络：在智能控制中的应用及VLSI实现[J].电子学报,1997(05):79-81+85. DOI：

王振峰, 靳东明, 李志坚. Monolithic Fuzzy Neural Network（MFNNs）：Application in Intelligent Control＆VLSI Realization[J]. Acta Electronica Sinica, 1997, (5). DOI：

摘要

本文提出一种融合人工神经网络与模糊集合理论思想的网络结构－单体模糊神经网络（ＭＦＮＮｓ）．在对该网络结构性质进行讨论的基础上，设计了该系统在智能控制领域中的应用，同时介绍了采用２μｍ电流型多值逻辑ＣＭＯＳ集成电路对该系统进行的设计和实现的情况．研究表明这一新型的模糊神经网络有广阔的应用前景．

Abstract

A novel network structure - Monolithic fuzzy neural networks （MFNNs） is putforward based on artificial neural networks and fuzzy set theory. Some characters of this sort ofnetworks have been discussed and its application in intelligent control system have been designed.The design and realization of MFNNs system based on 2μm current-mode multipul-valued logicCMOS VLSI technology are described.

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