BP neural network based on improved BFGS algorithm in the virtual speed prediction of bio-mimetic robotic horse

摘要：

To improve the precision and efficiency for virtual speed prediction of bio-mimetic robotic horse, this paper presents the BP neural network based on improved BFGS to predict the movement of the virtual speed of the biomimetic robotic horse. Experiments show that the BP network proposed in this paper can effectively avoid the traditional BP neural networks detects which easy to fall into local minima, and has faster convergence speed.

关键词： bio-mimetic robotic horse BP neural network extended-BFGS method Newton descent method

作者: Ren Yuyan Wang Hongrui Bao jie

作者单位: Yanshan University of Automation, Qinhuangdao, Hebei, 066004,China Hebei University of Automation, Baoding, Hebei, 071000, China Evaluating and Examining Center of State-Funded Construction Projects, NDRC,P. R. China, beijing, 10

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: 887-890

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）