DocumentCode
523648
Title
BP Neual Network Based on Improved BFGS Algorithm in the Virtual Speed Prediction of Bio-mimetic Robotic Horse
Author
Yuyan, Ren ; Hongrui, Wang ; Jie, Bao
Author_Institution
Yanshan Univ. of Autom., Qinhuangdao, China
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
887
Lastpage
890
Abstract
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 bio-mimetic 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.
Keywords
Computer networks; Convergence; Horses; Intelligent networks; Intelligent robots; Iterative algorithms; Iterative methods; Multi-layer neural network; Neural networks; Robotics and automation; BP neural network; Newton descent method; bio-mimetic robotic horse; extended-BFGS method;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha, China
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.440
Filename
5522758
Link To Document