School of Mechanical Engineering;
Nanjing University of Science and Technology;
Military Ammunition in Shenyang Representative Office;
Civil Aviation Flight University of China;
Heilongjiang North Tool Company Limited;
New Star Research Institute of Applied Technology;
support vector regression; kernel method; least squares; sparseness;