Prediction of Safety Objective for an Enterprise Using Fuzzy Neural Network
In this paper, Fuzzy neural network (FNN) method will be introduced, which is a functional model assisting in a goal-oriented prediction of the 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 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 a capability to develop complex, nonlinear functional relationships between input-output patterns based on limited and sometimes inconsistent data, and is therefore suitable for predicting the accident frequency rate on the basis of data obtained from historical data of the enterprise. Comparing with prediction results from the experiment of BP neural network model, the results from the FNN model show that the prediction accuracy in function is reliable and practical.
Liu Hui Zhou Yunzhu You Da Huang Xiaomei
College of Quality & Safety Engineering China Jiliang University Hangzhou, China School of Environment & Chemical Engineering Nanchang University Nanchang, China
国际会议
北京
英文
228-231
2011-09-23（万方平台首次上网日期，不代表论文的发表时间）