Introduction to Grey system theory
The Journal of Grey System
Artificial Intelligence Review - Special issue on lazy learning
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Direct search methods: then and now
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Choosing Multiple Parameters for Support Vector Machines
Machine Learning
The Equivalence of Support Vector Machine and Regularization Neural Networks
Neural Processing Letters
Predicting Time Series with Support Vector Machines
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
A tutorial on support vector regression
Statistics and Computing
A hybrid genetic algorithm with pattern search for finding heavy atoms in protein crystals
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Engineering Applications of Artificial Intelligence
A novel conflict reassignment method based on grey relational analysis (GRA)
Pattern Recognition Letters
Optimized Local Kernel Machines for Fast Time Series Forecasting
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 01
Efficient k-nearest-neighbor search algorthims for historical moving object trajectories
Journal of Computer Science and Technology
GMRVVm-SVR model for financial time series forecasting
Expert Systems with Applications: An International Journal
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
lp-norm multikernel learning approach for stock market price forecasting
Computational Intelligence and Neuroscience
Implementing support vector regression with differential evolution to forecast motherboard shipments
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Support vector regression (SVR) has often been applied in the prediction of financial time series with many characteristics. On account of much time consumption of global SVR, local machines are carried out to accelerate the computation. In this paper, we introduce local grey SVR (LG-SVR) integrated grey relational grade with local SVR for financial time series forecasting. Pattern search method and leave-one-out errors are adopted for model selection. Experimental results of three real financial time series prediction demonstrate that LG-SVR can speed up computing speed and improve prediction accuracy.