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《Journal of Anqing Teachers College(Natural Science Edition)》 2007-01
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The research on Neural Networks with Enhanced Generalization and Support Vector Machine

PAN Xing,YANG Ru-yue (China Jiliang University,Hangzhou,Zhejiang,310018,China)  
The generalization ability of an artificial neural network(ANN) is the most important performance of it,but to obtain the good generalization capability of an ANN is not an easy thing.This paper introduces the main algorithms of the improved neural networks with enhanced generalization and the popular machine learning algorithm——Support Vector Machine(SVM),based on BP neural network,the improved neural networks with enhanced generalization and the SVM to simulate fat testing experiment.The result indccates that the generalization ability of SVM is stronger than the neural network and the improved neural networks with enhanced generalization.So the SVM is destined to be the substitute for the ANN.
【CateGory Index】: TP183
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