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...
| Main Author: | Abdullah, Mohd Haris Lye |
|---|---|
| Format: | Thesis |
| Published: |
2003
|
| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/722/ |
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