Hybrid Models Of Fuzzy Artmap And Qlearning For Pattern Classification
Pengelasan corak adalah salah satu isu utama dalam pelbagai tugas pencarian data. Dalam kajian ini, fokus penyelidikan tertumpu kepada reka bentuk dan pembinaan model hibrid yang menggabungkan rangkaian neural Teori Resonan Adaptif (ART) terselia dan model Pembelajaran Pengukuhan (RL) untuk penge...
Main Author: | Navan, Farhad Pourpanah |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.usm.my/41031/1/Hybrid_Models_Of_Fuzzy_Artmap_And_Qlearning_For_Pattern_Classification.pdf |
Similar Items
-
Block Matching Algorithm (BMA) of the Hybrid Adaptive Rood Pattern Search (ARPS) Based on Its Motion Speed
by: Faizul Hadi Jamil, et al.
Published: (2017) -
Development of Signal Segmentation Technique and Improved Fuzzy K Nearest Centroid Neighbor (Ifkncn) Classifier for Audio Identification System
by: Jaafar, Haryati
Published: (2015) -
Algebraic study of fuzzy finite switchboard automata
by: Ebas, Nur Ain
Published: (2020) -
Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
by: Mahdavipour, Zeinab
Published: (2016) -
Development of A Discrete Wavelet Transform and Artificial Neural Network Based Classification System for Mammogram Images
by: Mina, Luqman Mahmood
Published: (2016)