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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Bibliographic Details
Main Author: Mohd Haris Lye Abdullah
Format: Thesis
Published: 2003
Subjects:
Online Access:http://shdl.mmu.edu.my/112/