The nature of statistical learning theory
The nature of statistical learning theory
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Asymptotic behaviors of support vector machines with Gaussian kernel
Neural Computation
A neural network model with bounded-weights for pattern classification
Computers and Operations Research
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Neural Networks - 2005 Special issue: IJCNN 2005
Support vector machines based on K-means clustering for real-time business intelligence systems
International Journal of Business Intelligence and Data Mining
Application of support vector machines to bandwidth reservation in sectored cellular communications
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Artificial Intelligence in Medicine
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks
Support vector machine with adaptive parameters in financial time series forecasting
IEEE Transactions on Neural Networks
Use of particle swarm optimization for machinery fault detection
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
The forecasting model based on wavelet ν-support vector machine
Expert Systems with Applications: An International Journal
Power load forecasts based on hybrid PSO with Gaussian and adaptive mutation and Wv-SVM
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Knowledge and Information Systems
Model optimization of SVM for a fermentation soft sensor
Expert Systems with Applications: An International Journal
Regression application based on fuzzy ν-support vector machine in symmetric triangular fuzzy space
Expert Systems with Applications: An International Journal
Car assembly line fault diagnosis based on robust wavelet SVC and PSO
Expert Systems with Applications: An International Journal
Feature selection for SVM via optimization of kernel polarization with Gaussian ARD kernels
Expert Systems with Applications: An International Journal
Enhancing the classification accuracy by scatter-search-based ensemble approach
Applied Soft Computing
Tax forecasting theory and model based on SVM optimized by PSO
Expert Systems with Applications: An International Journal
Information and Software Technology
The forecasting model based on modified SVRM and PSO penalizing Gaussian noise
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Short term wind speed prediction based on evolutionary support vector regression algorithms
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A probabilistic SVM based decision system for pain diagnosis
Expert Systems with Applications: An International Journal
Monthly streamflow forecasting based on improved support vector machine model
Expert Systems with Applications: An International Journal
A genetic algorithm-based approach to cost-sensitive bankruptcy prediction
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Journal of Systems and Software
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A hybrid stock selection model using genetic algorithms and support vector regression
Applied Soft Computing
Attribute selection method based on a hybrid BPNN and PSO algorithms
Applied Soft Computing
A novel algorithm applied to classify unbalanced data
Applied Soft Computing
Expert Systems with Applications: An International Journal
Evolutionary feature selection via structure retention
Expert Systems with Applications: An International Journal
Automatic detection of erythemato-squamous diseases using PSO-SVM based on association rules
Engineering Applications of Artificial Intelligence
Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems
International Journal of Applied Metaheuristic Computing
Adaptive SVM-Based classification systems based on the improved endocrine-based PSO algorithm
AMT'12 Proceedings of the 8th international conference on Active Media Technology
ECG arrhythmia classification based on optimum-path forest
Expert Systems with Applications: An International Journal
A hybrid PSO-FSVM model and its application to imbalanced classification of mammograms
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders
Computers in Biology and Medicine
Information Sciences: an International Journal
A loan default discrimination model using cost-sensitive support vector machine improved by PSO
Information Technology and Management
Least squares twin parametric-margin support vector machine for classification
Applied Intelligence
An improved quantum-behaved particle swarm optimization algorithm
Applied Intelligence
Feature subset selection using improved binary gravitational search algorithm
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.09 |
Support vector machine (SVM) is a popular pattern classification method with many diverse applications. Kernel parameter setting in the SVM training procedure, along with the feature selection, significantly influences the classification accuracy. This study simultaneously determines the parameter values while discovering a subset of features, without reducing SVM classification accuracy. A particle swarm optimization (PSO) based approach for parameter determination and feature selection of the SVM, termed PSO+SVM, is developed. Several public datasets are employed to calculate the classification accuracy rate in order to evaluate the developed PSO+SVM approach. The developed approach was compared with grid search, which is a conventional method of searching parameter values, and other approaches. Experimental results demonstrate that the classification accuracy rates of the developed approach surpass those of grid search and many other approaches, and that the developed PSO+SVM approach has a similar result to GA+SVM. Therefore, the PSO+SVM approach is valuable for parameter determination and feature selection in an SVM.