Improved Wavelet Networks Algorithm Research and Its Application

摘要：

The conventional learning algorithm based on BP method may converge to a local minimum, slowly converging speed and is shock before and after the Convergence point. A algorithm based on BP and PID techniques for wavelet network learning was proposed. And PIDBP algorithm can significantly reduce the probability of the emergence of local minimum after adding momentum term, At the same time introduction of the inertia term, Can be in the larger learning parameters to speed up the convergence and divergence and to reduce the possibility of oscillation, And avoid conventional BP algorithm in the convergence region Insensitivity to accelerate the convergence.

关键词： Wavelet Networks BP algorithm PIDBP algorithm Momentum term Inertia term

作者: YIN Jin-tian TANG Jie LIU Li

作者单位: Department of Electrical Engineering,Hunan University of Shaoyang,Shaoyang,China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 17-20

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）