摘要
支持向量机(SVM)和神经网络(ANN)是模式识别的两种方法,支持向量机是新兴的一种效率更高的识别方法,能够达到比神经网络更好的分类效果。文中以二分类为例比较了二者的分类准确率和效率问题。
Support Vector Machine（SVM） and neural network （ANN） are the two methods of pattern recognition, support vector machines is more efficient identification method which can achieve better classification results than the neural network. Taking two classification as an example, both classification accuracy and efficiency issues are compared.
出处
《机械工程师》
2012年第8期31-32,共2页
Mechanical Engineer
关键词
支持向量机
神经网络
模式识别
support vector machine
neural network
pattern recognition
