Fuzzy Neural Network Model for Comprehensive Quality Evaluation on College Students

摘要：

Respective advantages of the fuzzy analysis and neural network with respect to evaluation are adopted herein to establish the fuzzy neural network model for comprehensive quality evaluation on college students. In order to speed up convergence of the network, the clustering analysis method was adopted in the process of training to cluster values of all indexes input. Number of the hidden layer nodes was chosen using similarity measure method. These measures have speeded up convergence of the network and optimized structure of the network. Examples have proved that this evaluation model can finish the evaluation work well.

关键词： Comprehensive Quality Evaluation Fuzzy Neural Network Clustering Analysis Similarity Measure Method

作者: Xiujuan FAN Runping HAN Guifang WANG

作者单位: School of Information Technology Beijing Institute of Fashion Technology China, Beijing

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1545-1548

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）