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/
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author Mohd Haris Lye Abdullah,
author_facet Mohd Haris Lye Abdullah,
author_sort Mohd Haris Lye Abdullah,
building MMU Institutional Repository
collection Online Access
description 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 as the maximum excess return from the stock index closing level observed within the next 10 days ahead.
first_indexed 2025-11-14T17:56:05Z
format Thesis
id mmu-112
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T17:56:05Z
publishDate 2003
recordtype eprints
repository_type Digital Repository
spelling mmu-1122009-12-15T06:39:16Z http://shdl.mmu.edu.my/112/ Stock Trend Prediction With Neural Network Techniques Mohd Haris Lye Abdullah, QA75.5-76.95 Electronic computers. Computer science 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 as the maximum excess return from the stock index closing level observed within the next 10 days ahead. 2003 Thesis NonPeerReviewed Mohd Haris Lye Abdullah, (2003) Stock Trend Prediction With Neural Network Techniques. Masters thesis, Multimedia University. http://vlib.mmu.edu.my/diglib/login/dlusr/login.php
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Mohd Haris Lye Abdullah,
Stock Trend Prediction With Neural Network Techniques
title Stock Trend Prediction With Neural Network Techniques
title_full Stock Trend Prediction With Neural Network Techniques
title_fullStr Stock Trend Prediction With Neural Network Techniques
title_full_unstemmed Stock Trend Prediction With Neural Network Techniques
title_short Stock Trend Prediction With Neural Network Techniques
title_sort stock trend prediction with neural network techniques
topic QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/112/
http://shdl.mmu.edu.my/112/