An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network Algorithm

In order to improve the adaptive scheduling ability of the innovation and entrepreneurship education model for college students, a brain computing-based innovation and entrepreneurship education model for college students is proposed. Through career-planning education, team training will gradually c...

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Main Author: Chen Hao
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Security and Communication Networks
Online Access:http://dx.doi.org/10.1155/2021/5533376
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spelling doaj-8afb121833df468eba87ee51d921289f2021-03-22T00:04:04ZengHindawi-WileySecurity and Communication Networks1939-01222021-01-01202110.1155/2021/5533376An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network AlgorithmChen Hao0Ningbo University of Finance and EconomicsIn order to improve the adaptive scheduling ability of the innovation and entrepreneurship education model for college students, a brain computing-based innovation and entrepreneurship education model for college students is proposed. Through career-planning education, team training will gradually cultivate the leadership skills of entrepreneurs and improve the overall level of innovation and entrepreneurship of college students. The paper proposes to use the fuzzy neural network algorithm to analyze the control constraint parameters of the college students’ innovation and entrepreneurship education model and optimize the design of the control objective function of the university. The control of students’ innovation and entrepreneurship education model is carried out using quantitative optimization methods. The fuzzy neural network is used to identify the control rights of college students’ innovation and entrepreneurship education model through label recognition technology, and the control objective model of college students’ innovation and entrepreneurship education model is constructed. The adaptive load-balancing control method is adopted to control the innovation and entrepreneurship education model of college students. Research shows that this method has a good balance and adaptive control ability in the construction of college students’ innovation and entrepreneurship education model.http://dx.doi.org/10.1155/2021/5533376
collection DOAJ
language English
format Article
sources DOAJ
author Chen Hao
spellingShingle Chen Hao
An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network Algorithm
Security and Communication Networks
author_facet Chen Hao
author_sort Chen Hao
title An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network Algorithm
title_short An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network Algorithm
title_full An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network Algorithm
title_fullStr An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network Algorithm
title_full_unstemmed An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network Algorithm
title_sort exploratory research on constructing a model of innovation and entrepreneurship education for college students based on fuzzy neural network algorithm
publisher Hindawi-Wiley
series Security and Communication Networks
issn 1939-0122
publishDate 2021-01-01
description In order to improve the adaptive scheduling ability of the innovation and entrepreneurship education model for college students, a brain computing-based innovation and entrepreneurship education model for college students is proposed. Through career-planning education, team training will gradually cultivate the leadership skills of entrepreneurs and improve the overall level of innovation and entrepreneurship of college students. The paper proposes to use the fuzzy neural network algorithm to analyze the control constraint parameters of the college students’ innovation and entrepreneurship education model and optimize the design of the control objective function of the university. The control of students’ innovation and entrepreneurship education model is carried out using quantitative optimization methods. The fuzzy neural network is used to identify the control rights of college students’ innovation and entrepreneurship education model through label recognition technology, and the control objective model of college students’ innovation and entrepreneurship education model is constructed. The adaptive load-balancing control method is adopted to control the innovation and entrepreneurship education model of college students. Research shows that this method has a good balance and adaptive control ability in the construction of college students’ innovation and entrepreneurship education model.
url http://dx.doi.org/10.1155/2021/5533376
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