哈尔滨工业大学学报（英文版）2007，Vol.14Issue(4)：552-556,5.
The development of a knowledge base in an expert system based on the four-layer perceptron neural network
The development of a knowledge base in an expert system based on the four-layer perceptron neural network
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作者信息
- 1. School of Mechanics Engineering and Automation, Shanghai University, Shanghai 200072, China;School of Mechanical and Electrical Engineering, Shanghai Institute of Technology, Shanghai 200235, China;School of Mechanics Engineering and Automation, Shanghai University, Shanghai 200072, China;School of Mechanics Engineering and Automation, Shanghai University, Shanghai 200072, China
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摘要
Abstract
Owing to continuous production lines with large amount of consecutive controls, various control signals and huge logistic relations, this paper introduced the methods and principles of the development of knowledge base in a fault diagnosis expert system that was based on machine learning by the four-layer perceptron neural network. An example was presented. By combining differential function with not differentia function and back propagation of error with back propagation of expectation, the four-layer perceptron neural network was established. And it was good for solving such a bottleneck problem in knowledge acquisition in expert system and enhancing real-time on-line diagnosis. A method of synthetic back propagation was designed, which broke the limit to non-differentiable function in BP neural network.关键词
fault diagnosis/ expert system/ the four-layer perceptron neural network/ machine learningKey words
fault diagnosis/ expert system/ the four-layer perceptron neural network/ machine learning分类
机械制造引用本文复制引用
..The development of a knowledge base in an expert system based on the four-layer perceptron neural network[J].哈尔滨工业大学学报（英文版）,2007,14(4):552-556,5.
