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
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Journal of Global Optimization
Consistency Based Feature Selection
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Chi2: Feature Selection and Discretization of Numeric Attributes
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
Consistency-based search in feature selection
Artificial Intelligence
A hybrid decision tree/genetic algorithm method for data mining
Information Sciences: an International Journal - Special issue: Soft computing data mining
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Training RBF Networks Using a DE Algorithm with Adaptive Control
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Computer Methods and Programs in Biomedicine
Consistency measures for feature selection
Journal of Intelligent Information Systems
The Uniformization and the Feature Selection about the Inconsistent Classification Data Set
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02
Consistency-Based Feature Selection
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
International Journal of Bio-Inspired Computation
Feature subset selection using differential evolution
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
Engineering Applications of Artificial Intelligence
Structure damage diagnosis using neural network and feature fusion
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
Using mutual information for selecting features in supervised neural net learning
IEEE Transactions on Neural Networks
A new feature selection algorithm and composite neural network for electricity price forecasting
Engineering Applications of Artificial Intelligence
A hybrid algorithm for artificial neural network training
Engineering Applications of Artificial Intelligence
International Journal of Applied Metaheuristic Computing
Feature Reduction with Inconsistency
International Journal of Cognitive Informatics and Natural Intelligence
Engineering Applications of Artificial Intelligence
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A novel approach for the classification of both balanced and imbalanced dataset is developed in this paper by integrating the best attributes of radial basis function networks and differential evolution. In addition, a special attention is given to handle the problem of inconsistency and removal of irrelevant features. Removing data inconsistency and inputting optimal and relevant set of features to a radial basis function network may greatly enhance the network efficiency (in terms of accuracy), at the same time compact its size. We use Bayesian statistics for making the dataset consistent, information gain theory (a kind of filter approach) for reducing the features, and differential evolution for tuning center, spread and bias of radial basis function networks. The proposed approach is validated with a few benchmarked highly skewed and balanced dataset retrieved from University of California, Irvine (UCI) repository. Our experimental result demonstrates promising classification accuracy, when data inconsistency and feature selection are considered to design this classifier.