This paper mainly deals with the application of genetic algorithm to parameters selection of support vector regression.

By combining several parameters selection approaches of Support Vector Machine(SVM),this paper proposes a method that defines parameters directly by analyzing training samples.

The parameters selection can be transformed into an optimization problem by defining the root mean square error of a SVM prediction model as an evaluation function.

Development status of ultra-supercritical steam turbine abroad is summarized, the technical & economical base of parameter choice for these units are also discussed, according to which, the orientation and stage are proposed.

According the terminals structure characteristics and the terminals die precision demand,introduced staple design skill and design parameter choice of terminals die in die factory.

Analysis of selection of parameters in a quasi-synchronous sampling algorithm;

This paper proposes a procedure for artificial neural network (ANN) in spot welding,and establishes spot welding parameter selecting ANN systems and spot welding joint quality predicting ANN systems.

The feature of task of the parameter selecting in vehicle overall design stage is analyzed,and in VC + +6.

Based on the analysis of the parameter selecting task in the vehicle overall design stage,the parameter selecting expert system of vehicle overall design is developed,in which artificial intelligence technology,object_oriented technology and database technology are used.