Fuzzy Approximation Network Perturbation Systems and Its Application to Risk Analysis in Transportation Capacity
By embedding the fuzzy neural networks, we construct a fuzzy approximation network perturbation system based on the human knowledge. A survey of the principle of this system is presented including the architectures and hybrid learning rules. In order to enhance the traffic productivity, using Fuzzy Logic Toolbox of MATLAB, we establish a prediction model and apply it to risk analysis in transportation capacity. In terms of the simulation result, the model is quite good and decreases risk in transportation capacity.
Sheng Li Zou Kai-qi
Chongqing Institute of Technology Chongqing, 400050 P. R. China University key Lab. of Information Science and Engineering of Dalian University College of Informati
国际会议
The 1st International Conference on Risk Analysis and Crisis Response(首届风险分析与危机反应国际学术研讨会)
上海
英文
726-728
2007-09-25（万方平台首次上网日期，不代表论文的发表时间）