Designing and Researching for a FANNC

孙圣和; 赵保军

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Designing and Researching for a FANNC

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- Designing and Researching for a FANNC
- Acta Electronica Sinica Issue 10, (1996)
- 作者机构：
  
  哈尔滨工业大学无线电工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1996
- 稿件说明：
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[1]孙圣和,赵保军.一种模糊人工神经网络控制器的设计与研究[J].电子学报,1996(10):42-45.

孙圣和, 赵保军. Designing and Researching for a FANNC[J]. Acta Electronica Sinica, 1996, (10).
[1]孙圣和,赵保军.一种模糊人工神经网络控制器的设计与研究[J].电子学报,1996(10):42-45. DOI：

孙圣和, 赵保军. Designing and Researching for a FANNC[J]. Acta Electronica Sinica, 1996, (10). DOI：

摘要

模糊控制与人工神经网络控制有许多相似之处，如何最大程度地发挥这两种控制的优点是一个很重要的问题。本文利用模糊控制算法快速、简便的优点弥补了人工神经网络算法复杂、缓慢的缺点，利用神经元特征函数使模糊控制更容易处理，以此为基础研制出一种模糊人工神经网络控制器（简称ＦＡＮＮＣ）．通过仿真验证了该ＦＡＮＮＣ的合理性，其控制效果明显优于文献［８］的控制效果。同时，也表明模糊控制是一种特殊的人工神经网络控制，二者是一致的，其学习和训练可以用相同的方法来进行，这对二者的统一处理很有价值。

Abstract

Fuzzy control is similar to artificial neural network control on many aspects. It is very important to exert their advantages. This paper uses the high-speed and concise properties of fuzzy control to make up the low-speed and complexities of artificial neural network. On the other hand

neural activation function makes it easy to deal with fuzzy control. Based on these advantages

a new fuzzy artificial neural network controller （FANNC） is designed. Its reasonableness is verified by simulation. The simulation results of FANNC are superior to literature[8]. Also

this paper shows that fuzzy control is a kind of special artificial neural network

they can be trained in the same way. It is very valuable for united dealing with both of them.

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