An adaptive fuzzy min-max conflict-resolving classifier

QR Code

An adaptive fuzzy min-max conflict-resolving classifier

This paper describes a novel adaptive network, which agglomerates a procedure based on the fuzzy min-max clustering method, a supervised ART (Adaptive Resonance Theory) neural network, and a constructive conflict-resolving algorithm, for pattern classification. The proposed classifier is a fusion of...

Full description

Bibliographic Details
Main Authors:	Tan, , Shing Chiang, Rao, , M. V. C.), Lim, , Chee Peng
Format:	Article
Published:	2006
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2028/

Similar Items

Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility
by: Tan, Shing Chiang, et al.
Published: (2008)

A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm
by: Tan, Shing Chiang, et al.
Published: (2008)

A cooperative learning model for the fuzzy ARTMAP-dynamic decay adjustment network with the genetic algorithm
by: Tan, Shing Chiang, et al.
Published: (2007)

Classifiers for sonar target differentiation
by: Loo, , CK, et al.
Published: (2004)

Rule Learning and Extraction Using a Hybrid Neural Network: A Case Study on Fault Detection and Diagnosis
by: Tan, Shing Chiang, et al.
Published: (2005)

A mutation-based evolving neural network model and its application to condition monitoring
by: Tan, Shing Chiang, et al.
Published: (2007)

Autonomous and deterministic clustering for evidence-theoretic classifier
by: Poh, , Chen Li, et al.
Published: (2006)

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

Robust Signal Subspace Speech Classifier
by: Tan, Alan W. C., et al.
Published: (2007)

Adaptive and fuzzy approaches for nodes affinity management in wireless ad-hoc networks
by: Natsheh, Essam, et al.
Published: (2008)

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

A Scalable QoS Scheduling Architecture For WiMAX Multi-Hop Relay Networks.
by: Tat, Chee Wan, et al.
Published: (2010)

A composite signal subspace speech classifier
by: TAN, A, et al.
Published: (2007)

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

Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation
by: Loo, Chu Kiong, et al.
Published: (2006)

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)

Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP
by: Loo, C.K., et al.
Published: (2005)

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

Prototyping of Wavelet Transform, Artificial Neural Network and Fuzzy Logic for Power Quality Disturbance Classifier
by: Reaz, M. B. I., et al.
Published: (2007)

A robust and effective fuzzy adaptive equalizer for powerline communication channels
by: WONG, W, et al.
Published: (2007)

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)

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 Bayesian approach to classify conference papers
by: Khor, , Kok-Chin, et al.
Published: (2006)

Identifying And Classifying Unknown Words In Malay Texts.
by: Bali, Ranaivo-Malançon, et al.
Published: (2007)

Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease
by: Jinjiri, Wada Mohammed
Published: (2023)

On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment
by: TAN, S, et al.
Published: (2006)

Intelligent Pool Decision System Using Zero-Order Sugeno Fuzzy System
by: Chua, Shing Chyi, et al.
Published: (2005)

Design and implementation of a power quality disturbance classifier: An Al approach
by: Reaz, , M. B. I, et al.
Published: (2006)

Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours
by: Baneamoon, Saeed Mohammed Saeed
Published: (2010)

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

A Background Study on Ant Colony Optimization Metaheuristic and its Application Principles in Resolving Three Combinatorial Optimization Problem.
by: Sallim, Jamaludin, et al.
Published: (2007)

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

Nearest neighbourhood classifiers in a bimodal biometric verification system fusion decision scheme
by: Teoh,, A, et al.
Published: (2004)

Theoretic evidence k-nearest neighbourhood classifiers in a bimodal biometric verification system
by: Jin, , ATB, et al.
Published: (2003)

Fusion Of Global Shape And Local Features Using Multi Classifier Framework For Object Class Recognition
by: Manshor, Noridayu
Published: (2013)

Expert System for Power Quality Disturbance Classifier
by: Ibne Reaz, Mamun, et al.
Published: (2007)

Covid-19 Misinformation Classification On Twitter In Malaysia Using A Hybrid Adaptive Neuro-Fuzzy Inferences System (Anfis) And Deep Neural Network (Dnn)
by: Ravichandran, Bhavani Devi
Published: (2023)

A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection
by: Khor, Kok Chin, et al.
Published: (2012)

Scale-space texture classification using combined classifiers
by: Gangeh, Metirdad J., et al.
Published: (2007)

Improving the performance of two-state mental task brain-computer interface design using linear discriminant classifier
by: Palaniappan, , R, et al.
Published: (2005)