Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks

QR Code

Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks

Pattern classification is one of the major components for the design and development of a computerized pattern recognition system. Focused on computational intelligence models, this thesis describes in-depth investigations on two possible directions to design robust and flexible pattern classificati...

Full description

Bibliographic Details
Main Author:	F. M., Mohammed
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:	http://eprints.usm.my/46164/ http://eprints.usm.my/46164/1/Mohammed%20F.%20M.24.pdf

Similar Items

An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification
by: Mohammed, Mohammed Falah, et al.
Published: (2017)

Flexible enhanced fuzzy min–max neural network model for pattern classification problems
by: Al-Hroob, Essam Muslem Harb
Published: (2020)

Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.
by: Quteishat, Anas Mohammad Ali, et al.
Published: (2008)

A flexible enhanced fuzzy min-max neural network for pattern classification
by: Alhroob, Essam, et al.
Published: (2024)

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)

Modern fuzzy min max neural networks for pattern classification
by: Al Sayaydeh, Osama Nayel Ahmad
Published: (2019)

A survey of fuzzy min max neural networks for pattern classification: variants and applications
by: Al Sayaydeh, Osama Nayel, et al.
Published: (2018)

Fuzzy Min Max Neural Network for pattern classification: An overview of complexity problem
by: Al Sayaydeh, Osama Nayel, et al.
Published: (2018)

A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification
by: Alhroob, Essam, et al.
Published: (2019)

Improving the Fuzzy Min-Max Neural Network with a K-nearest Hyperbox Expansion Rule for Pattern Classification
by: Mohammed, Mohammed Falah, et al.
Published: (2017)

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)

A hybridization of neural network and fuzzy logic technique in pattern classification
by: Hwa, Li Li
Published: (2011)

Novel Art-Based Neural Network Models For Pattern Classification, Rule Extraction And Data Regression
by: Yap , Keem Siah
Published: (2010)

SAIRF: A similarity approach for attack intention recognition using fuzzy min-max neural network
by: Ahmed, Abdulghani Ali, et al.
Published: (2018)

Fuzzy Min-Max Classifier Based on New Membership Function for Pattern Classification: A Conceptual Solution
by: Alhroob, Essam, et al.
Published: (2018)

A Voting Technique Of Multilayer Perceptron Ensemble For Classification Application
by: Talib, Hafizah
Published: (2014)

A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
by: Fatin Nurjannah, Salauddin
Published: (2018)

Classification Of Breast Lesions Using Artificial Neural Network.
by: Mashor, M Y, et al.
Published: (2006)

An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
by: Al-Batah, Mohammad Subhi Mohammad
Published: (2009)

Analysis on Misclassification in Existing Contraction of Fuzzy Min–max Models
by: Alhroob, Essam, et al.
Published: (2020)

An adaptive fuzzy min-max conflict-resolving classifier
by: Tan, , Shing Chiang, et al.
Published: (2006)

A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering
by: Teh, Chee Siong
Published: (2006)

Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
by: Zuwairie, Ibrahim, et al.
Published: (2014)

An Enhanced Probabilistic Neural Network For Pattern Classification
by: Chang, Roy Kwang Yang
Published: (2010)

Completed Local Ternary Pattern for Rotation Invariant Texture Classification
by: Rassem, Taha H., et al.
Published: (2014)

Power Management Controller By Using Intel Max 10 Fpga
by: Ooi , Kheng Jin
Published: (2017)

Neural Computation For Flow Regime Classification Based On Electrical Capacitance Tomography.
by: Mat-Dan, A. A., et al.
Published: (2004)

The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
by: Rashid, Mamunur, et al.
Published: (2021)

Comparison of diverse ensemble neural network for large data classification

An Analysis of Large Data Classification using Ensemble Neural Network

An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
by: Ihsanto, Eko, et al.
Published: (2020)

An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving
by: Jing, Rui Tang, et al.
Published: (2014)

Software Toolkit For Designing An Artificial Neural Network.
by: Ahmad, M. A., et al.
Published: (2004)

Tracking system using neural network
by: Chong, Chee Moi
Published: (2019)

Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)

Enhancement Of The Low Contrast Image Using Fuzzy Set Theory
by: Hasikin, Khairunnisa, et al.
Published: (2012)

Carbon Monoxide Level Forecasting Using Neural Network.
by: Mamat, Mazlina, et al.
Published: (2002)

Neural network paradigm for classification of defects on PCB
by: Heriansyah, Rudi, et al.
Published: (2003)

A Comparative Study of Z-Score and Min-Max Normalization for Rainfall Classification in Pekanbaru
by: Rahmad Ramadhan, Laska, et al.
Published: (2024)

Detection Of Misplaced And Missing Regions In Image Using Neural Network
by: Tan , Jin Siang
Published: (2017)