Abstract: This paper contributes a class of algorithms of constructing SVR based on its different approximate hyperplanes. It proves that SVM has its approximate hyperplanes. According as there are Support Vectors near the SVM and the Support Vectors are consequent

Key words: SVR（Support Vector Regression）, Algorithm, Complexity analysis