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Establishment of an Atmospheric Corrosive Knowledge Base for Carbon Steel and Low Alloy Steel Based on ANN

LUANYanbing, LI Shunhua, QU Zuyu Material Science and Engineering School, UST Beijing, Beijing 100083, China  
The defect in the knowledge bases of the traditional expert systems is briefly discussed and then an atmospheric corrosive knowledge base of carbon steel and low alloy steel based on artificial neural networks is presented. The knowledge acquisition, knowledge representation and system fulfillment in this new knowledge base system are described in detail.
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