A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
Performance analysis of pattern classifier combination by plurality voting
Pattern Recognition Letters
Application of majority voting to pattern recognition: an analysis of its behavior and performance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Neural Networks
Fuzzy multi-layer perceptron, inferencing and rule generation
IEEE Transactions on Neural Networks
Neural Processing Letters
Design of a hybrid system for the diabetes and heart diseases
Expert Systems with Applications: An International Journal
Rule extraction from trained adaptive neural networks using artificial immune systems
Expert Systems with Applications: An International Journal
Identifying core sets of discriminatory features using particle swarm optimization
Expert Systems with Applications: An International Journal
Extracting rules for classification problems: AIS based approach
Expert Systems with Applications: An International Journal
An interpretable fuzzy rule-based classification methodology for medical diagnosis
Artificial Intelligence in Medicine
A new computational intelligence technique based on human group formation
Expert Systems with Applications: An International Journal
Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases
Artificial Intelligence in Medicine
A novel distance measure for data vectors with nominal feature values
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
Workpiece recognition by the combination of multiple simplified fuzzy ARTMAP
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Autonomous and deterministic clustering for evidence-theoretic classifier
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
A hybrid intelligent system for medical data classification
Expert Systems with Applications: An International Journal
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In this paper, an accurate and effective probabilistic plurality voting method to combine outputs from multiple Simplified Fuzzy ARTMAP (SFAM) classifiers is presented. Five ELENA benchmark problems and five medical benchmark data sets have been used to evaluate the applicability and performance of the proposed Probabilistic Ensemble Simplified Fuzzy ARTMAP (PESFAM) network. Among the five benchmark problems in ELENA project, PESFAM outperforms the SFAM and Multi-layer Perceptron (MLP) classifier. In addition, the effectiveness of the proposed PESFAM is delineated in medical diagnosis applications. For the medical diagnosis and classification problems, PESFAM achieves 100 percent in accuracy, specificity, and sensitivity based on the 10-fold crossvalidation and these results are superior to those from other classification algorithms. In addition, the a posteri probability of the predicted class can be used to measure the prediction reliability of PESFAM. The experiments demonstrate the potential of the proposed multiple SFAM classifiers in offering an optimal solution to the data-ordering problem of SFAM implementation and also as an intelligent medical diagnosis tool.