Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Particle Swarm Algorithm for Classification Rules Generation
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Visualization and analysis of classifiers performance in multi-class medical data
Expert Systems with Applications: An International Journal
A novel ensemble of classifiers for microarray data classification
Applied Soft Computing
A hybrid PSO/ACO algorithm for discovering classification rules in data mining
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multi-objective rule mining using a chaotic particle swarm optimization algorithm
Knowledge-Based Systems
A hybrid immune-estimation distribution of algorithm for mining thyroid gland data
Expert Systems with Applications: An International Journal
A GAs based approach for mining breast cancer pattern
Expert Systems with Applications: An International Journal
ICSAP '10 Proceedings of the 2010 International Conference on Signal Acquisition and Processing
Unsupervised clustering methods for medical data: an application to thyroid gland data
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Particle swarm optimization for determining fuzzy measures from data
Information Sciences: an International Journal
Cellular particle swarm optimization
Information Sciences: an International Journal
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Classification rule mining based on particle swarm optimization
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Advances in artificial immune systems
IEEE Computational Intelligence Magazine
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Black hole: A new heuristic optimization approach for data clustering
Information Sciences: an International Journal
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
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This work uses a novel rule-based classifier design method, constructed by using improved simplified swarm optimization (SSO), to mine a thyroid gland dataset from UCI databases. An elite concept is added to the proposed method to improve solution quality, close interval encoding (CIE) is added to efficiently represent the rule structure, and the orthogonal array test (OAT) is added to powerfully prune rules to avoid over-fitting the training dataset. To evaluate the classification performance of the proposed improved SSO, computer simulations are performed on well-known thyroid gland data. Computational results compare favorably with those obtained using existing algorithms such as conventional classifiers, including Bayes classifier, k-NN, k-Means, and 2D-SOM, and soft computing based methods such as the simple SSO, immune-estimation of distribution algorithms (IEDA), and genetic algorithm (GA).