Research and Implementation of the Neural Network Model Simulating Human Identification

摘要：

This article establishes a neural network model simulating human identification based Genetic Algorithm and BP neural network algorithm. According to features of the matter to be identified, the genetic algorithm is adopted to produce these sample groups and determine parameters of the neural network model. The relationship between input and output has been identified during self-adaptive learning and training of the neural network, so as to achieve the purpose of identifying correctly. Identification experiments about multi-degrees among related specialized subjects verify the model is effective for independent studying.

关键词： Genetic algorithm BP neural network 1:1 Digital Technology Supported Learning Identifing Degree

作者: Min Liu Hua Teng Xiao-Bo He

作者单位: Computer Institute, China West Normal University CWNU Nanchong Sichuan China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 12-15

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）