BP Neural network research based on three convergence improved LM algorithm

被引：2
|
作者：
Guo, Xiucai [1 ]
Shang, Saihua [1 ]
机构：
[1] Xian Univ Sci & Technol, Xian 710054, Peoples R China
来源：
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷
关键词：
BP neural network; simulation; optimization algorithm; LM algorithm;
D O I：
10.4028/www.scientific.net/AMM.303-306.1543
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to solve the practical application problem, which traditional neural network takes too long and compute complexly, on the basis of the LM algorithm, combined with mathematical optimization theory, identify the three convergence Improved LM algorithm applied to BP neural network, that improved LMBP algorithm. Simulation results show that the improved LMBP algorithm in convergence time and goodness of fit both have better results, and the algorithm is general and can be produced by obtaining national sample of various scenarios, using the algorithm to predict, to better guidance on production.
引用
收藏
页码：1543 / 1546
页数：4
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