Floating search methods in feature selection
Pattern Recognition Letters
Two strategies to avoid overfitting in feedforward networks
Neural Networks
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Evolving Multilayer Perceptrons
Neural Processing Letters
Database intergration using neural networks: implementation and experiences
Knowledge and Information Systems
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
Feature selection with neural networks
Pattern Recognition Letters
A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Lagrangian support vector machines
The Journal of Machine Learning Research
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence
Evolutionary computing based mobile robot localization
Engineering Applications of Artificial Intelligence
Non-parametric classifier-independent feature selection
Pattern Recognition
A hybrid approach for feature subset selection using neural networks and ant colony optimization
Expert Systems with Applications: An International Journal
Advances in Engineering Software
Expert Systems with Applications: An International Journal
Modelling of electrostatic fluidized bed (EFB) coating process using artificial neural networks
Engineering Applications of Artificial Intelligence
Intelligent systems in the automotive industry: applications and trends
Knowledge and Information Systems
Forward and reverse mappings in green sand mould system using neural networks
Applied Soft Computing
Expert Systems with Applications: An International Journal
Intelligent digital signal-type identification
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
SVM based adaptive learning method for text classification from positive and unlabeled documents
Knowledge and Information Systems
Knowledge and Information Systems
Engineering Applications of Artificial Intelligence
A Study of Classification Algorithm for Data Mining Based on Hybrid Intelligent Systems
SNPD '08 Proceedings of the 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Expert Systems with Applications: An International Journal
A hybrid model using genetic algorithm and neural network for classifying garment defects
Expert Systems with Applications: An International Journal
Process parameter optimization for MIMO plastic injection molding via soft computing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evolving neural network using real coded genetic algorithm for daily rainfall-runoff forecasting
Expert Systems with Applications: An International Journal
Location determination of mobile devices for an indoor WLAN application using a neural network
Knowledge and Information Systems
A hybrid intelligent genetic algorithm
Advanced Engineering Informatics
A multilayer perceptron-based medical decision support system for heart disease diagnosis
Expert Systems with Applications: An International Journal
Enhancing the classification accuracy by scatter-search-based ensemble approach
Applied Soft Computing
Robotics and Computer-Integrated Manufacturing
A threshold fuzzy entropy based feature selection for medical database classification
Computers in Biology and Medicine
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The back-propagation network (BPN) is a popular tool with applications in a variety of fields. Nevertheless, different problems may require different parameter settings for a given network architecture. A dataset may contain many features, but not all features are beneficial for classification by the BPN. Therefore, a particle-swarm-optimization-based approach, denoted as PSOBPN, is proposed to obtain the suitable parameter settings for BPN and to select the beneficial subset of features which result in a better classification accuracy rate. A set of 23 problems with a range of examples and features drawn from the UCI (University of California, Irvine) machine learning repository is adopted to test the performance of the proposed algorithm. The results are compared with several well-known published algorithms. The comparative study shows that the proposed approach improves the classification accuracy rate in most test problems. Furthermore, when the feature selection is taken into consideration, the classification accuracy rates of most datasets are increased. The proposed algorithm should thus be useful to both practitioners and researchers.