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《Journal of Beijing Institute of Machinery》 2001-01
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The application of neural network and the rule base in the expert system of the large scale rotary machines

JU Wan qun,HAN Qiu shi (Department of Mechanical Engineering, Beijing Institute of Machinery, Beijing 100085,China)  
The maintenance of equipment requires accurate and rapid judgement for the arisen fault.To meet the demands, it's not to have the conventional fault expert system.lt's necessary to apply the neural network to the expert system and build Neural Network Expert System . At the same time,to connect neural network with the rule base can reach the best effect. In the neural network diagnosis, using the method of associating BP with the newton arithmetic, the speed of convergence is improved. In the diagnostic expert system of a set affusion pump employs such a principle.
【Fund】: 国家自然科学基金项目! [项目编号 :5 9775 0 0 2 ]
【CateGory Index】: TP182
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