Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification
This thesis is focused on the development of evolutionary artificial neural network (EANN) models for pattern classification.
Saved in:
Main Author: | Tan, Shing Chiang |
---|---|
Format: | Thesis |
Published: |
2008
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Models Of Fuzzy Artmap And Qlearning For Pattern Classification
by: Navan, Farhad Pourpanah
Published: (2015) -
Torque Ripple Minimization In Switched Reluctance Motors Using Novel Fuzzy Logic Based Techniques
by: Ramasamy, Gobbi
Published: (2008) -
Subspace Approach For Speech Signal Modelling And Classification
by: Tan, Alan Wee Chiat
Published: (2007) -
Development of Signal Segmentation Technique and Improved Fuzzy K Nearest Centroid Neighbor (Ifkncn) Classifier for Audio Identification System
by: Jaafar, Haryati
Published: (2015) -
Novel Technique For Selective Harmonic Elimination Pulse-With Modulation Control For Voltage Source Inverters Using Hybrid Real-Coded Genetic Algorithm
by: Dahidah, Mohamed S.A.
Published: (2007)