摘要
在分析了传统雨刮器缺点的基础上,提出了一种基于BP神经网络的模式识别模型,用专家的经验数据训练它,并测试了它;给出了BP神经网络的学习过程及算法。结果表明这个基于BP神经网络的模型不使用精确的数学模型即可有效处理智能雨刮器系统的不可靠性和非线性。
After the analysis of the disadvantages of traditional wiper,this paper introduces a method of constructing the control model of automatic windshield wiper based on BP neural network. A model of pattern recognition based on BP neural network is built and train it with specialists＇ experience data, and then tested it. And we give the learning process and algorithm of BP neural network. The result indicates that this model based on BP neural network is effective to handle uncertainties and nonlinearities of the automatic windshield wiper system, without use of a sophisticated mathematical model
出处
《科技通报》
北大核心
2012年第5期156-158,共3页
Bulletin of Science and Technology
基金
浙江省嘉兴市科技局计划项目(2010AY1084)
