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

Ding, Li; Chai, Xuguang; Zeng, Fanjin

doi:10.3991/ijet.v16i20.26507

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…The parameters of the PSO algorithm were determined based on previous research [52]: the initial population size was 200, the stopping condition was 1000 iterations or a minimum accuracy of 0.00001, the learning constant was two, and the window radius of the PPM was 0.1S z .…”

Section: Comparison Of Computational Performance Of Different Algorithmsmentioning

confidence: 99%

Site Suitability Evaluation of a Large Commercial Complex Using an Improved Projection Pursuit Model

Wu,

Yu,

et al. 2024

Buildings

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In developing countries, especially China, large-scale commercial complexes are the current trend in commercial real estate. Compared with other similar buildings, scientific site selection is very important for the smooth construction and efficient operation of these complexes. However, there is still a lack of a targeted evaluation index system and quantitative evaluation methods. Therefore, this paper put forward the evaluation index system and method of large-scale commercial-complex location based on a projection pursuit model. First, this paper comprehensively considered the environmental, social, and economic factors, and used secondary and tertiary indicators to systematically establish an evaluation index system. This index system effectively dealt with the complex problem of its site selection. Compared with the traditional multi-attribute evaluation method based on expert advice, the evaluation method of the improved projection pursuit model based on a sparrow search algorithm constructed in this paper was to mine key information from the evaluation data, which could evaluate the site suitability of large commercial complexes more scientifically and objectively. In addition, this paper made a detailed empirical study of the Joy City project in Nanchang, China. The research results found the key factors affecting the site selection of the project and determined that the site-selection evaluation result of the project was medium. The research results of this paper provide the scientific and objective decision-making basis for the development enterprises of large commercial complexes to reduce site-selection risk and improve investment efficiency.

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Section: Comparison Of Computational Performance Of Different Algorithmsmentioning

confidence: 99%

Site Suitability Evaluation of a Large Commercial Complex Using an Improved Projection Pursuit Model

Wu,

Yu,

et al. 2024

Buildings

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show abstract

“…Ding et al used the neural network method to evaluate college students' innovation and entrepreneurship ability. The constructed evaluation index system includes: innovation ability, innovation consciousness, entrepreneurial risk-taking behavior, and entrepreneurial risk resistance ability, which can effectively reflect the level of college students' innovation and entrepreneurship ability [19]. Pisoni evaluated the connotation of college students' innovation and entrepreneurship ability from the perspective of the overall concept and defined that the ability is the embodiment of knowledge skills transformation and value orientation [20].…”

Section: Selection Of Research Variablesmentioning

confidence: 99%

Factors Influencing Chinese College Students’ Innovation and Entrepreneurship Ability: The Moderating Effect Test Based on Entrepreneurial Atmosphere

Zhao

Li²,

Chen³

2022

Sustainability

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Background: Innovation and entrepreneurship education is the fundamental way to apply talent training in colleges and universities. The improvement of innovation and entrepreneurship ability is the embodiment of the success of innovation and entrepreneurship education. This paper discusses the influence mechanisms of entrepreneurial consciousness, entrepreneurial motivation, and entrepreneurial cognition on innovation and entrepreneurship ability. It analyzes the effect of the entrepreneurial atmosphere on the relationship between entrepreneurial consciousness, entrepreneurial motivation, and innovation and entrepreneurship ability. Methods: Based on the data from 1944 questionnaires, we used SPSS24.0 and AMOS22.0 software to analyze the composition and influencing factors of college students’ innovation and entrepreneurship ability. We constructed a structural equation model for empirical research. Results: The results showed that the scale of innovation and entrepreneurship ability had good reliability and validity. Entrepreneurial consciousness, entrepreneurial motivation, and entrepreneurial cognition had significant positive effects on innovation and entrepreneurship ability. Entrepreneurial atmosphere plays a moderating effect in the process that entrepreneurial consciousness affects innovation and entrepreneurship ability and entrepreneurial motivation affects innovation and entrepreneurship ability. Finally, based on China’s national conditions, we proposed suggestions to improve college students’ innovation and entrepreneurship ability from the two aspects of education and base construction to provide a reference for colleges and universities to transport entrepreneurial talents to society.

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“…Differences in training levels have differentiated entrepreneurs' knowledge structures and abilities [9]. Promoting the cultivation of creative and innovative talents is a matter of the future development of countries and students [10].…”

Section: Introductionmentioning

confidence: 99%

Innovative and entrepreneurial characteristics of university students based on logistic regression model

Liu,

Kang

2023

Applied Mathematics and Nonlinear Sciences

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This paper proposes a logistic regression model with structural sparsity to study the characteristics of innovation and entrepreneurship among college students. The article first analyzes the basic form of the logistic regression model, including the objective function and the selection method for the penalty function. Then, because the ADMM algorithm combines the advantages of augmented Lagrangian and pairwise decomposition, which can reduce the computational difficulty and complexity, based on this advantage, this paper designs the ADMM algorithm solution framework that is favorable for distributed computing. Finally, this paper analyzes the relationship between the development of innovation and entrepreneurship ability of students in R colleges and universities and their gender, grade, academic foundation, experience in clubs and discipline type. The results yielded that college students’ mean value of innovation and entrepreneurship competence in HEI R was 3.734. The mean value of the scores of each sub-competence ranged from 3.531 to 3.918, which puts the overall innovation and entrepreneurship competence of students in this university at an intermediate level. Therefore, this study plays an important role in understanding the innovation and entrepreneurial characteristics of students in higher education.

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

Cited by 4 publications

References 24 publications

Site Suitability Evaluation of a Large Commercial Complex Using an Improved Projection Pursuit Model

Site Suitability Evaluation of a Large Commercial Complex Using an Improved Projection Pursuit Model

Factors Influencing Chinese College Students’ Innovation and Entrepreneurship Ability: The Moderating Effect Test Based on Entrepreneurial Atmosphere

Innovative and entrepreneurial characteristics of university students based on logistic regression model

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