Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization

The current evaluation index systems (EISs) of innovation and entrepreneurship (I&E) ability are not sufficiently systematic, scientific, or practical. To solve the problem, this paper tries to evaluate the I&E ability of computer majors, using neural networks improved by particle swarm opti...

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Autores principales:	Li Ding, Xuguang Chai, Fanjin Zeng
Formato:	article
Lenguaje:	EN
Publicado:	Kassel University Press 2021
Materias:	Education L Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/ec8a7e4f73ec407e81fe5d70a468eeda
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spelling	oai:doaj.org-article:ec8a7e4f73ec407e81fe5d70a468eeda2021-12-02T19:24:24ZEvaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization1863-038310.3991/ijet.v16i20.26507https://doaj.org/article/ec8a7e4f73ec407e81fe5d70a468eeda2021-10-01T00:00:00Zhttps://online-journals.org/index.php/i-jet/article/view/26507https://doaj.org/toc/1863-0383The current evaluation index systems (EISs) of innovation and entrepreneurship (I&E) ability are not sufficiently systematic, scientific, or practical. To solve the problem, this paper tries to evaluate the I&E ability of computer majors, using neural networks improved by particle swarm optimization (PSO). Firstly, an EIS of 22 second-level indexes under 5 first-level indexes was designed to evaluate the I&E ability of college computer majors. Next, an evaluation model was developed based on fuzzy neural network (FNN), and the corresponding training algorithm was created. Moreover, an improved PSO was introduced to optimize the FNN, and the optimization process was detailed. The proposed model was proved effective through experiments.Li DingXuguang ChaiFanjin ZengKassel University PressarticleEducationLInformation technologyT58.5-58.64ENInternational Journal of Emerging Technologies in Learning (iJET), Vol 16, Iss 20, Pp 19-34 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Education L Information technology T58.5-58.64
spellingShingle	Education L Information technology T58.5-58.64 Li Ding Xuguang Chai Fanjin Zeng Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization
description	The current evaluation index systems (EISs) of innovation and entrepreneurship (I&E) ability are not sufficiently systematic, scientific, or practical. To solve the problem, this paper tries to evaluate the I&E ability of computer majors, using neural networks improved by particle swarm optimization (PSO). Firstly, an EIS of 22 second-level indexes under 5 first-level indexes was designed to evaluate the I&E ability of college computer majors. Next, an evaluation model was developed based on fuzzy neural network (FNN), and the corresponding training algorithm was created. Moreover, an improved PSO was introduced to optimize the FNN, and the optimization process was detailed. The proposed model was proved effective through experiments.
format	article
author	Li Ding Xuguang Chai Fanjin Zeng
author_facet	Li Ding Xuguang Chai Fanjin Zeng
author_sort	Li Ding
title	Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization
title_short	Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization
title_full	Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization
title_fullStr	Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization
title_full_unstemmed	Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization
title_sort	evaluation of innovation and entrepreneurship ability of computer majors based on neural network optimized by particle swarm optimization
publisher	Kassel University Press
publishDate	2021
url	https://doaj.org/article/ec8a7e4f73ec407e81fe5d70a468eeda
work_keys_str_mv	AT liding evaluationofinnovationandentrepreneurshipabilityofcomputermajorsbasedonneuralnetworkoptimizedbyparticleswarmoptimization AT xuguangchai evaluationofinnovationandentrepreneurshipabilityofcomputermajorsbasedonneuralnetworkoptimizedbyparticleswarmoptimization AT fanjinzeng evaluationofinnovationandentrepreneurshipabilityofcomputermajorsbasedonneuralnetworkoptimizedbyparticleswarmoptimization
_version_	1718376592599678976

Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization

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