Stock Trend Prediction With Neural Network Techniques

Stock Trend Prediction With Neural Network Techniques

This thesis presents a study and implementation of stock trend prediction using neural network techniques. The multilayer-perceptron (MLP) and radial basis function network (RBF) are compared with the new neural network technique, Support Vector Machine(SVM). In this study the stock trend is defined...

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书目详细资料
主要作者:	Mohd Haris Lye Abdullah
格式:	Thesis
出版:	2003
主题:	QA75.5-76.95 Electronic computers Computer science
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