关键词: 专家系统, 径向基神经网络, 复二次函数, 质量检测, 质量追溯

Abstract: Concerning the problem in the conventional neural network expert system that can not provide explaining facility and reasoning process, the hot rolling products quality test system based on Radial Basis Function (RBF) neural network with function of qualitytrack can overcome the shortcoming. In the part of quality test, it provided detailed explanations and tracking process of the output of the expert system. According to the characteristics of steel industry, it used multiRBF neural network in the part of physical properties test. Firstly it used RBF neural network to forecast physical properties, and then dealt with the input parameters with the multiquadratic function. Finally it made longitudinal tracing and horizontal tracing to the result. The practical application result shows this system improves the degree of automation and the efficiency quality test in iron and steel enterprise. Compared with the previous way, it saves 60% of the time.

Key words: expert system, Radial Basis Function (RBF) neural network, multiquadratic function, quality inspection, quality traceability