Novel Art-Based Neural Network Models For Pattern Classification, Rule Extraction And Data Regression
This thesis is concerned with the development of novel neural network models for tackling pattern classification, rule extraction, and data regression problems. The research focuses on one of the advanced features of neural networks, i.e., the incremental learning ability. This ability relates to co...
Saved in:
Main Author: | Yap , Keem Siah |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://eprints.usm.my/42853/1/YAP_KEEM_SIAH.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault Detection And Diagnosis Of Induction Motors Using The Fuzzy Min-Max Neural Network And The Classification And Regression Tree
by: Seera, Manjeevan Singh
Published: (2012) -
A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering
by: Teh, Chee Siong
Published: (2006) -
Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
by: F. M., Mohammed
Published: (2014) -
An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
by: Al-Batah, Mohammad Subhi Mohammad
Published: (2009) -
Finger Vein Recognition Using Pattern Map As Feature Extraction
by: Teoh, Saw Beng
Published: (2012)