Machine Learning
Induction By Attribute Elimination
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Consistency-based search in feature selection
Artificial Intelligence
Characterization of empirical discrepancy evaluation measures
Pattern Recognition Letters
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Optimization-based feature selection with adaptive instance sampling
Computers and Operations Research
Pattern Recognition Letters
Searching for interacting features
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
BioDM'06 Proceedings of the 2006 international conference on Data Mining for Biomedical Applications
Introducing a rule importance measure
Transactions on Rough Sets V
Solving the process of hysteresis without determining the optimal thresholds
Pattern Recognition
Short communication: New results in modelling derived from Bayesian filtering
Knowledge-Based Systems
Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting
Knowledge-Based Systems
A rough set approach to feature selection based on power set tree
Knowledge-Based Systems
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
Knowledge-Based Systems
Feature selection for support vector machines with RBF kernel
Artificial Intelligence Review
Dimensionality reduction and main component extraction of mass spectrometry cancer data
Knowledge-Based Systems
Determinants of intangible assets value: The data mining approach
Knowledge-Based Systems
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
A hybrid fuzzy intelligent agent-based system for stock price prediction
International Journal of Intelligent Systems
Feature selection using dynamic weights for classification
Knowledge-Based Systems
Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal
Knowledge-Based Systems
DBNs-BLR (MCMC) -GAs-KNN: a novel framework of hybrid system for thalassemia expert system
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
A novel feature selection method and its application
Journal of Intelligent Information Systems
A novel feature subset selection algorithm based on association rule mining
Intelligent Data Analysis
Hi-index | 0.00 |
This paper describes a novel feature subset selection algorithm, which utilizes a genetic algorithm (GA) to optimize the output nodes of trained artificial neural network (ANN). The new algorithm does not depend on the ANN training algorithms or modify the training results. The two groups of weights between input-hidden and hidden-output layers are extracted after training the ANN on a given database. The general formula for each output node (class) of ANN is then generated. This formula depends only on input features because the two groups of weights are constant. This dependency is represented by a non-linear exponential function. The GA is involved to find the optimal relevant features, which maximize the output function for each class. The dominant features in all classes are the features subset to be selected from the input feature group.