Support vector machine (SVM) is a new general learning machine, which analyzes the consistency of learning and speed of convergence from structure risk minimization principle.

Structural risk minimization induce principle is used to control the bound on the value of achieved risk by controlling experiential risk and belief bound at the same time.

Based on the principle of construction risk minimization, the relations among the main variants are found out to yield a general rule which is then used to obtain the accurate optimizations.