Weighted prediction method with multiple time series using multi-kernel least squares support vector regression

Engineering

• Least Square 100%
• Support Vector Machine 100%
• Computation Time 33%
• Fault Mode 33%
• Simple Approach 33%
• Prediction Performance 33%
• Dimensional Feature Space 33%
• Data Series 33%
• Weight Function 33%

Mathematics

• Support Vector Machine 100%
• Time Series Prediction 66%
• Weight Function 33%
• Dimensional Feature Space 33%

Computer Science

• Support Vector Regression 100%
• Multiple Time Series 100%
• Information Hiding 33%