A Method of Identification by Fuzzy Neural Network Based on Genetic Algorithm Ontimizfltinn

摘要：

This article describes a mixed algorithm based on genetic algorithm and the improved BP algorithm. Using the global search ability of genetic algorithm to obtain the optimal fuzzy rule base, then the improved BP algorithm modifies network weights and the variable parameters of membership functions. This hybrid algorithm based on fuzzy neural network not only has the GAs global search capabilities but also to adjust the parameters of the adaptive learning rate, greatly reduce the search time for the optimal solution, while avoiding the omission of important rules to happen. The algorithm is applied to the automatic identification of passenger vehicles, makes the classification results faster and more accurate.

关键词： GA Fuzzy Neural Network Vehicle Identification

作者: Li Chen HuijunWang

作者单位: College of Information Science and Technology Northwest University 710127 Xian, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Environmental and Computer Science(2010年第三届环境与计算机科学国际会议 ICECS 2010)

会议地点: 昆明

会议语种:英文

页码: 262-265

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）