Prediction of Safety Objective of an Enterprise Using Fuzzy Neural Network
Fuzzy neural network (FNN) method is presented where a functional model assists in a goal oriented prediction of safety objective and the FNN model based on time series is developed for prediction of the accident frequency rate which is one of important indices for safety objective management in an enterprise.The model is built in accordance with a connection link between fuzzy logic and neural computing.The fuzzy cluster identification algorithm is adopted to confirm the number of the best hidden layer nodes of the network.The FNN has capability to develop complex,nonlinear functional relationships between input-output patterns based on limited and sometimes inconsistent data,and is therefore suitable to predict the accident frequency rate on the basis of data obtained from historical data of the enterprise.Comparing with prediction results of the experiment of BP neural network model,the results of FNN model show that the prediction accuracy in function is reliable and practical.
Fuzzy neural network Predict Safety objective Accident frequency rate
Liu Hui Hu Yunfei Zhou En Shao Kai
College of Quality & Safety Engineering, China Jiliang University, Hangzhou, 310018, China
国际会议
2012 International Symposium on Safety Science and Engineering in China (2012安全科学与工程国际会议)
北京
英文
162-167
2012-11-07（万方平台首次上网日期，不代表论文的发表时间）