The Sync Tracing Based on Improved Genetic Algorithm Neural Network

摘要：

The elevator system is important in nine safety manufacture. Aiming the character of frequent startup and stop with nonlinearity, the sync tracing method based on improved genetic algorithm neural network is presented. Because the condition of the normal adaptation function is too freethe adaptation function is improved, which is the new function altering with input space, then, improved genetic algorithm neural network(IGANN) is established, the IGANN not only avoids getting into local extremum point, but also realizes sync tracing. It is proved by simulation of 400kW assistant elevator in nine, that the sync tracing IGANN is effective for the character of frequent startup and stop with nonlinearity.

关键词： sync tracing improved genetic algorithm neural network safety manufacture nine elevator

作者: Yuanbin Hou Chunfeng Song Ning Li

作者单位: School of Electricity and Control Xian University of Science and Technology Xian 710054,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 396-399

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）