Adaptive Selection Of KLSE Stocks Using Neural Networks
Stock is becoming a significant investment tools that contributes towards Malaysia economic growth. Thus it is vital to increase investor's confidence in the Malaysia stock market. In this era of Information Age, artificial intelligence is applied to develop sound investment analysis tools in s...
Saved in:
Main Author: | Kok, Chee Foong |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2002
|
Subjects: | |
Online Access: | http://etd.uum.edu.my/566/1/KOK_CHEE_FOONG.pdf http://etd.uum.edu.my/566/2/KOK_CHEE_FOONG.pdf http://etd.uum.edu.my/566/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Student classification in adaptive hypermedia learning system using neural network
by: Yusob, Bariah, et al.
Published: (2004) -
Pattern recognition using neural network : user defined imaged classifier based neural network using selected feature
by: Shirley, anak George.
Published: (2005) -
The Use of Artificial Neural Network for Forecasting of FTSE Bursa Malaysia KLCI Stock Price Index
by: Ardiansyah, Soleh, et al.
Published: (2013) -
A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network
by: Mohammed, Mohammed Falah, et al.
Published: (2017) -
Early Admission Selection Process Into Sixth Form Science Streams Using Neural Networks Model
by: Wong, Tuck Sung
Published: (2000)