Tax forecasting theory and model based on SVM optimized by PSO
Authors:
- 14 July 2010
- journal article
- Published by Elsevier in Expert Systems with Applications
- Vol. 38 (1) , 116-120
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (60276028)
- National Defense Pre-Research Foundation of China (51411040601DZ014)
This publication has 9 references indexed in Scilit:
- Hybrid evolutionary algorithms in a SVR-based electric load forecasting modelInternational Journal of Electrical Power & Energy Systems, 2009
- An outdoor time scenes simulation scheme based on support vector regression with radial basis function on DCT domainImage and Vision Computing, 2009
- Improving option price forecasts with neural networks and support vector regressionsNeurocomputing, 2009
- Generalized Regression Neural Networks and Feed Forward Neural Networks for prediction of scour depth around bridge piersAdvances in Engineering Software, 2009
- Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural networkExpert Systems with Applications, 2009
- Middle-long power load forecasting based on particle swarm optimizationComputers & Mathematics with Applications, 2009
- Financial time series forecasting using independent component analysis and support vector regressionDecision Support Systems, 2009
- Particle swarm optimization for parameter determination and feature selection of support vector machinesExpert Systems with Applications, 2008
- Price forecast in the competitive electricity market by support vector machinePhysica A: Statistical Mechanics and its Applications, 2007