Evaluation on Cultivation of Innovative Talents in Engineering Universities Based on PSO-SVM Algorithm

Author

Wang, Xiu-mei ; Du, Qiu-shi

Author_Institution

Office of Acad. Affairs, North China Electr. Power Univ., Baoding, China

Volume

1

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

271

Lastpage

274

Abstract

In order to evaluate the ability of personnel training of the university accurately, combined talents teaching and research condition in engineering colleges and universities, this paper constructs a comprehensive evaluation index system of cultivation of innovative talents in engineering colleges and universities and propose a method of comprehensive evaluation based on Particle Swarm Optimization and support vector machine through analysis on the strength, activity and effectiveness of cultivation of innovative talents of university. 46 evaluation index system of the 26 universities is carried out classification test, evaluation results show that the model has good regression results, and also suitable for evaluation grade of cultivation of innovative talents in engineering colleges and universities at present.

Keywords

educational administrative data processing; educational institutions; engineering education; particle swarm optimisation; regression analysis; support vector machines; training; PSO-SVM algorithm; engineering colleges; engineering universities; evaluation index system; innovative talent; particle swarm optimization; personnel training; Automation; Birds; Educational institutions; Particle swarm optimization; Personnel; Power engineering and energy; Power engineering computing; Support vector machine classification; Support vector machines; Technological innovation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.73

Filename

5287659