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...

全面介绍

Saved in:
书目详细资料
主要作者: Mohd Haris Lye Abdullah
格式: Thesis
出版: 2003
主题:
标签: 添加标签
没有标签, 成为第一个标记此记录!