浅谈BP神经网络在模式识别中的应用  

On BP Neural Network in Pattern Recognition Application

作　　者：林加乡[1] 葛元[1] LIN Jia-xiang, GE Yuan （Information Engineering College, Shanghai Maritime University, Shanghai 200135, China）

机构地区：[1]上海海事大学信息工程学院,上海200135

出　　处：《电脑知识与技术》2011年第3期1543-1545,共3页Computer Knowledge and Technology

摘　　要：模式识别技术在各行各业都有广泛的应用。在工业检测、医疗仪器的样本检查分析、军事卫星侦察、人工智能方面有着举足轻重的作用。该文介绍基于BP神经网络的模式识别方法。运用一种基于BP神经网络的改进算法，将基于学习的思想引入到模式识别中，对样本数据进行学习和训练，形成良好的网络，最后对与已训练好的网络进行检验的整个过程，由于达到了一定的准确度，避开了传统方法计算属性权重的问题。Pattern recognition technology, widely used in all works. Automatic detection of industrial and medical equipment on the inspection of samples, military satellites detect Police, intelligence has a pivotal role. This article describes the pattern recognition based on BP neural network method. Based on the use of BP Improved neural network algorithm, will be based learning is introduced into pattern recognition, data on the sample study and training, to form a good network Contact, and finally with the already trained network to test the whole process, because to a certain accuracy, to avoid the traditional method of calculating property Weight problems.

关 键 词：模式识别 BP神经网络 

分 类 号：TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]