Chinese NSFNational Natural Science Foundation of China (NSFC) [60373000]; Hunan NSF [07JJ3124]; Hunan Science and Technology Project [2009GK3096]; HUNAN graduate student innovation foundation; Hunan Provincial education department foundation [06d042]; Hunan Provincial public security department foundation [[2008]14]; CSUFT science foundation [061018B, 06Y003, 07007A, 2008sx14]
机构署名：
本校为其他机构
院系归属：
计算机与信息工程学院
摘要：
BP neural network has strong fault-tolerant and adaptive learning capacity, so it is widely used in pattern recognition. Based on the classic BP neural network, parameters of the BP algorithm has been optimized, which achieved a classification based on the improved BP neural network algorithm. By discussing the use of BP neural network in the application of pattern classification recognition, this paper detailedly studies the recognition effect of various parameters. Experimental results show...
