Hybrid Computational Intelligence Models With Symbolic Rule Extraction For Pattern Classification
Tesis ini adalah berkenaan dengan pembangunan model kecerdikan berkomputer hibrid bagi menangani masalah pengelasan corak. This thesis is concerned with the development of hybrid Computational Intelligence (CI) models for tackling pattern classification problems.
Saved in:
Main Author: | Quteishat, Anas Mohammad Ali |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://eprints.usm.my/10413/1/HYBRID_COMPUTATIONAL_INTELLIGENCE_MODELS.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiobjective Optimisation Of Joint Power And Admission Control In Cognitive Radio Networks Using Enhanced Swarm Intelligence
by: Al-Shami, Tareq Mohammed Ali
Published: (2016) -
Self-Supervised Metric-Based Meta-Learning for Few-Shot Image classification
by: Lim, Jit Yan
Published: (2022) -
An improved algorithm for iris classification by using support vector machine and binary random machine learning
by: Kamarulzalis, Ahmad Haadzal
Published: (2018) -
ESET-ConvNet: Deep learning hybrid model for stock price prediction
by: Ang, John Syin
Published: (2022) -
Praxis Of Cognitive Onto-Hermeneutical Logic On Learning Machines [Q325.5. S624 2008 f rb].
by: Ramakrishnan, Sivakumar
Published: (2008)