scholarly journals An Evaluation Model for the Innovation and Entrepreneurship Thinking Ability of College Students Based on Neural Network

2021 ◽  
Vol 16 (02) ◽  
pp. 188
Author(s):  
Feng Zhang ◽  
Limin Xi
Keyword(s):  
Neural Network ◽  
College Students ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Thinking Ability ◽  
Fuzzy Neural ◽  
Knowledge Rules ◽  
Innovation And Entrepreneurship

Mass innovation and entrepreneurship (I&E) is a national campaign in China. In this context, it is important to encourage college students to engage in I&E activities, and this calls for accurate and comprehensive evaluation of their I&E thinking ability. Therefore, this paper proposes an evaluation model for the I&E thinking ability of college students based on neural network (NN). Firstly, a reasonable evaluation index system was created for the I&E thinking ability of college students, and the evaluation indices were preprocessed through fuzzy analytic hierarchy process (AHP). Then, a fuzzy neural network (FNN) was constructed based on GA rule optimization and the specific steps of the algorithm were given. Moreover, a few representative rules were selected by GA based on uncertain fuzzy knowledge rules, a 4-layer NN model with fuzzy inputs and outputs was established, and the evaluation flow of the I&E thinking ability of college students was proposed. Finally, the effectiveness of the proposed model was verified through experiments. The research results of this paper provide a reference for the application of NN in the field of ability evaluation.

Fuzzy evaluation of students’ professional competence

2019 ◽  
pp. 002072091989419
Author(s):  
Han Zhang
Keyword(s):  
Neural Network ◽  
College Students ◽  
Fuzzy Neural Network ◽  
Professional Competence ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Fuzzy Neural ◽  
Combined Algorithm

This paper studies the factors affecting college students’ professional competence, establishes the evaluation index system of college students’ professional competence, and makes a quantitative analysis of each index; the weight of each index is determined by analytic hierarchy process. This paper introduces the method of fuzzy comprehensive evaluation to calculate the scores of each student’s professional ability and the module of individual professional ability to solve the problem of fuzziness and uncertainty of students’ professional ability. However, the calculation process is too complicated to automatically adjust the membership function and fuzzy rules when using fuzzy mathematics to evaluate students’ professional ability. In this paper, a new mathematical model of comprehensive evaluation is designed. A combined algorithm—fuzzy neural network algorithm—is proposed by using the advantages of fuzzy analysis and neural network in evaluation; a fuzzy neural network model of college students’ professional ability is established. The experimental results show the effectiveness of the proposed algorithm.

scholarly journals An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Sen Tian ◽  
Jianhong Chen
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Evaluation Model ◽  
Back Propagation ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Operation Rate ◽  
Network Methods ◽  
Neural Network Algorithm

With the development of mine industry, tailings storage facility (TSF), as the important facility of mining, has attracted increasing attention for its safety problems. However, the problems of low accuracy and slow operation rate often occur in current TSF safety evaluation models. This paper establishes a reasonable TSF safety evaluation index system and puts forward a new TSF safety evaluation model by combining the theories for the analytic hierarchy process (AHP) and improved back-propagation (BP) neural network algorithm. The varying proportions of cross validation were calculated, demonstrating that this method has better evaluation performance with higher learning efficiency and faster convergence speed and avoids the oscillation in the training process in traditional BP neural network method and other primary neural network methods. The entire analysis shows the combination of the two methods increases the accuracy and reliability of the safety evaluation, and it can be well applied in the TSF safety evaluation.

scholarly journals The evaluation of college students’ innovation and entrepreneurship ability based on nonlinear model

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Guihong Liang ◽  
Daniyal M. Alghazzawi ◽  
Nympha Rita Joseph
Keyword(s):  
College Students ◽  
Structural Model ◽  
Evaluation Model ◽  
Entrepreneurship Education ◽  
Colleges And Universities ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Ecological Environment ◽  
Index Weight ◽  
Innovation And Entrepreneurship

Abstract Under the background of ‘mass entrepreneurship and innovation’, Chinese colleges and universities have strengthened students’ entrepreneurial and innovative abilities. The article first analyses the reasons why applied universities should strengthen innovation and entrepreneurship education. On this basis, the evaluation index system of students’ innovation and entrepreneurship ability is constructed. The thesis uses the nonlinear structural model to complete the index weight setting. Finally, the paper verifies the effectiveness of the combined evaluation model through the data on innovation and entrepreneurship of college students in an university where applied. At the same time, the article proposes measures for optimising the ecological environment of innovation and entrepreneurship education for colleges and universities.

Study on Evaluation Methods of Disciplines in Universities

2013 ◽  
Vol 423-426 ◽  
pp. 2930-2933
Author(s):  
Cong Jun Rao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Scientific Research ◽  
Fuzzy Comprehensive Evaluation ◽  
First Grade ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Research Achievement

The level and status of disciplines are the important indexes in universities. The evaluation of multiple disciplines plays an important role in the disciplines development. This paper mainly studied the problem of disciplines evaluation in higher education. Firstly, it established the evaluation index system with eight first-grade evaluation indexes, i.e., discipline construction, teaching award, research funding, the scientific research achievement award, team construction, scientific research, talent training, and initial investment, and then used the method of Analytic Hierarchy Process (AHP) to solve the weight of each index. Thirdly, it established a disciplinary evaluation model based on fuzzy comprehensive evaluation method, and analyzed the rationality of the model. The study in this paper provides a new way for the evaluation of university disciplines.

Comprehensive Evaluation of Implementation Effect on Later-Period Supportive Policy of Reservoir Resettlement Based on ANFIS

2014 ◽  
Vol 912-914 ◽  
pp. 1874-1878 ◽  
Author(s):  
Xin Xu ◽  
Xiao Yi Wang ◽  
Zhao Yang Wang ◽  
Yu Hang Long ◽  
Suo Jun Xu
Keyword(s):  
Neural Network ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Nonlinear Characteristics ◽  
Comprehensive Evaluation Model ◽  
Implementation Effect ◽  
Reservoir Resettlement

According to engineering features of later-period supportive policy on reservoir resettlement, Economic evaluation index system of implementation effect on later-period supportive policy of reservoir resettlement is built to assess the implementation result of reservoir resettlement policy effectively in recent years. Considering the complexity of the evaluation index and the nonlinear characteristics of evaluation process, it is built that the comprehensive evaluation model of implementation effect on later-period supportive policy of reservoir resettlement based on ANFIS(Fuzzy artificial neural network) to provide the decision-making reference for implementation and improvement of later-period supportive policy of reservoir resettlement.

scholarly journals Quantitative Analysis of the Impact of Wireless Internet Technology on College Students’ Innovation and Entrepreneurship under the Background of “Internet Plus”

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Qinqin Lou
Keyword(s):  
College Students ◽  
Quantitative Analysis ◽  
Wireless Network ◽  
Evaluation Model ◽  
Fuzzy Optimization ◽  
Evaluation Index System ◽  
Network Technology ◽  
Proposed Model ◽  
Weight Model ◽  
Innovation And Entrepreneurship

Under the background of “Internet plus,” the opportunities and challenges that college students face in the process of innovation and entrepreneurship coexist. College students should make full use of the powerful function of the Internet to excavate the huge business opportunities hidden under the background of “Internet plus.” In the context of “Internet plus” of mass entrepreneurship and innovation, the quantitative analysis method is studied in the context of wireless network technology on college students’ innovation and entrepreneurship. This paper proposes a combined weight model and an evaluation model based on genetic fuzzy optimization neural network. This research initially establishes an evaluation index system (EIS) by analyzing the influence factors of wireless network technology on college students’ innovation and entrepreneurship. In addition, EIS is also analyzed by combining the objective weight of each index obtained by the entropy with the subjective weight of each index obtained by the analytic hierarchy process to construct a combined weight model. A genetic algorithm is used to optimize fuzzy optimization neural networks and establish an evaluation index system of wireless network technology based on genetic fuzzy optimization neural network. To minimize the output error, the function of output error is used as the fitness evaluation function to output the score after several iterations. The experimental results show that the evaluation model can determine the importance of the influencing factors of wireless network technology on college students’ innovation and entrepreneurship. It is further evident from the experiments that the proposed model has high accuracy, with the average relative error always less than 1%, which can further improve the effect of quantitative analysis. The proposed model also has a fast convergence speed that can prevent local minima.

Multi-Level Fuzzy Comprehensive Evaluation for Rapid Manufacturing System

2011 ◽  
Vol 308-310 ◽  
pp. 1193-1197
Author(s):  
Li Hua Tao ◽  
Ren Jiang Li ◽  
Jun Feng Bai
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Determine Factor ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Evaluation Approach ◽  
Comprehensive Evaluation Model ◽  
Multi Level ◽  
Hierarchy Process

In order to evaluate a RMS roundly and objectively, a multi-level fuzzy comprehensive evaluation approach based on analytic hierarchy process (AHP) is proposed in this paper. Firstly, a hierarchical and comprehensive evaluation index system for RMSs is extracted. Then, based on this structure, a multi-level fuzzy comprehensive evaluation model is developed, in which AHP is incorporated to determine factor weights.

Research on a Fuzzy Neural Network Based Medical Institutions Selection in Subway Station Emergency

2011 ◽  
Vol 361-363 ◽  
pp. 1204-1210 ◽  
Author(s):  
Zong Feng Zou ◽  
Hong Xia Guo
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Subway Station ◽  
Affecting Factors ◽  
Evaluation Approach ◽  
Medical Institutions ◽  
Fuzzy Neural ◽  
Selection Of

The paper introduces fuzzy neural network into the selection of medical institutions in subway station emergency in view of some negatives of previous evaluation approaches. It also makes comprehensive analysis about affecting factors of subway station incident, and constructs the evaluation index system, and then proposes a new evaluation approach. This approach is a fuzzy neural network. The parameters accident factors, medical institutions' conditions and external environment are trained firstly.Then to construct a fuzzy neural network evaluation model and thereby derive the evaluating value of the selection of medical institutions in subway station emergency. Experimental results show that this method is effective, feasible and highly accurate.

Apply of the Theory of Fuzzy Comprehensive Evaluation to the Middle-Level Manager’s Organizational Identification in Construction Trades

2012 ◽  
Vol 174-177 ◽  
pp. 2970-2974
Author(s):  
Heng Bo Du
Keyword(s):  
Organizational Identification ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Middle Level ◽  
Evaluation Index System ◽  
Core Competitiveness ◽  
Analytic Hierarchy ◽  
Set Up ◽  
Construction Trades

Shaping and strengthening the middle-level manager’s organizational identification in construction trades, which can make the organization become an important part of their self concept and be willing to become a common destiny with the enterprise, can win core competitiveness for the enterprise’s sustainable development. Based on depth interview, aided by the nvivo8 software, the paper uses grounded theory to set up the evaluation index system of middle-level managers’ organizational identification in construction trades. The weight of each index is assigned by analytic hierarchy process and the fuzzy comprehensive evaluation model of middle-level manager’s organizational identification in construction trades is constructed.

scholarly journals Evaluation of College Students’ Employment Quality Based on Analytic Hierarchy Process

2021 ◽  
Vol 257 ◽  
pp. 02076
Author(s):  
Mian Fu ◽  
Dan Dan Wang
Keyword(s):  
College Students ◽  
Quality Evaluation ◽  
College Graduates ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Employment Quality ◽  
Hierarchy Process

The employment situation of college graduates is directly related to the future development of college students, affects the role of talents in our socialist modernization construction, and relates to social harmony and stability. Taking the employment quality evaluation of college students as the research object, the paper constructs the employment quality evaluation model of graduates by establishing the evaluation index system. Through the application of AHP and the evaluation model, the employment quality of the graduates of a university in 2018 is evaluated. According to the evaluation results, it is concluded that the quality of employment should be improved from three aspects: strengthening employment guidance education, strengthening professional practice learning and improving students’ comprehensive quality.

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