Study of Electrical Safety Assessment of Industry Based on Artificial Neural Network
Method of electrical safety assessment of industry based on artificial neural network was proposed. Fourteen assessment indexes were determined to form a new safety assessment index system. According to the system, node number of input layer, output layer and connotative layer was determined and basic frame of BP neural network was constructed. The study of BP neural network was exercised by the counter propagation algorithm and genetic algorithm, the model was solved. The method was tested. Predicted results were found to be in full compliance with the real condition of the plant.
electrical system safety assessment neural network BP neural model
YUE Lihong CHEN Weigong
Division of Science and TechnologyQingdao Technological University , Ministry of Education NO11, Fushun Road, Qingdao, Shangdong, 266033
国际会议
北京
英文
2007-08-05(万方平台首次上网日期,不代表论文的发表时间)