Title :
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
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;
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
DOI :
10.1109/ICICTA.2009.73
