scholarly journals Guarantee Industries Credit Evaluation Research of Risk Management Perspective

2013 ◽  
Vol 380-384 ◽  
pp. 4426-4430
Author(s):  
Yi Fang ◽  
Hui Jun Ren ◽  
Long Xing Li
Keyword(s):  
Risk Management ◽  
Bp Neural Network ◽  
Evaluation Model ◽  
Evaluation Research ◽  
Evaluation Index ◽  
Credit Evaluation ◽  
Evaluation Indexes ◽  
Demonstration Analysis ◽  
Research Designs ◽  
Management Perspective

In order to evaluate the credit status of the insured enterprise, from the perspective of guarantee companys risk management, according the evaluation indexes of the evaluation agencies both at home and abroad, this research constructs the credit guarantee evaluation index institutions used by themselves, and determines the weights of evaluation indexes by using FAHP. At last, this research designs the enterprise credit evaluation model based on the BP neural network and verifies the feasibility of the model through the demonstration analysis.

scholarly journals Credit of small and medium sized scientific and technological enterprises based on BP neural network Evaluation research

2021 ◽  
Vol 336 ◽  
pp. 09010
Author(s):  
Liulu Zhang ◽  
Xiao Zuo
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Evaluation System ◽  
Credit Rating ◽  
Evaluation Model ◽  
Science And Technology ◽  
Evaluation Research ◽  
Credit Evaluation ◽  
Neural Network Algorithm ◽  
Model Training

Aiming at the problem of credit evaluation of science and technology-based small and medium-sized enterprises in China, a credit evaluation system based on machine learning is proposed. A total of 17 indicators are selected from five aspects of solvency, profitability, operation ability, growth ability and R & D ability. Finally, 11 representative indicators are selected. Then through BP neural network algorithm to build a credit evaluation model, training and Simulation of the credit rating of science and technology-based SMEs. The results show that the evaluation model has good generalization ability, and can effectively evaluate the credit of science and technology-based SMEs.

scholarly journals Development of Evaluation Index Model for Activation and Promotion of Public Space in the Historic District Based on AHP/DEA

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Fengwen Wu ◽  
Shiyu Qin ◽  
Chunyu Su ◽  
Mingyuan Chen ◽  
Qian Wang ◽  
...  
Keyword(s):  
Public Space ◽  
Evaluation Model ◽  
Evaluation Index ◽  
Superposition Method ◽  
Historic District ◽  
Historic Districts ◽  
Evaluation Indexes ◽  
The Public ◽  
Index Model

Historic districts represent an important characteristic of Beijing and are also a crucial carrier of Chinese historic culture. However, they are significantly affected by the rapid urban constructions. Thus, it is of great significance to maintain and promote the public space in historic districts. This paper uses a multisource data superposition method to select the evaluation index of public space. The AHP was also used to complete the single-level and total-level ranking and calculation of evaluation indexes. Finally, based on the DEA model, a vitality evaluation model of Beijing historic district public spaces was developed and its validity was verified through a case study of the Wanping historic district.

The Model of Evaluating Teaching Quality Based on BP Neural Network Algorithm

2015 ◽  
Vol 719-720 ◽  
pp. 1297-1301
Author(s):  
Lei Bai ◽  
Xiao Xin Guo
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Quality Evaluation ◽  
Hot Spot ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Research Field ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Neural Network Algorithm

Teaching quality evaluation plays a key role for universities to improve its teaching quality and becomes a hot spot research field for related researchers. In this paper, we established the evaluation model of teaching quality based on BP neural network. Firstly an evaluation index system of teaching quality is designed. Then, according to the system we design the structure of BP neural network, determine the parameters and give the algorithm description. Finally, we program and verify the validity of the model in MATLAB environment. The experimental results show that the model can evaluate teaching quality practically by the evaluation index.

Application of Discrete Mathematics in the Evaluation Model of Regional Economic Growth Effect

2021 ◽  
Vol 7 (5) ◽  
pp. 2127-2145
Author(s):  
Wei Wu
Keyword(s):  
Economic Growth ◽  
Evaluation Model ◽  
Growth Effect ◽  
Evaluation Index ◽  
Regional Economic Growth ◽  
Discrete Mathematics ◽  
Test Results ◽  
Regional Economic ◽  
Evaluation Indexes ◽  
Index Data

At present, the evaluation of regional economic growth effect, the consistency test results of evaluation indexes are not accurate, which leads to the phenomenon of “pseudo regression” in the evaluation model, so the application of discrete mathematics in the evaluation model of regional economic growth effect is proposed. Based on the selection principle of regional economic growth effect index put forward in the literature, the evaluation index of regional economic growth effect is determined to measure the location entropy existing in the evaluation index; to deal with the difference of evaluation index data, KMO test and Bartley sphericity test are adopted. Besides the evaluation index layer of economic distribution standard, the test results show that the evaluation index data is suitable for factor analysis method. The evaluation index weight is calculated, and the regional economic growth effect evaluation model is established to evaluate the regional economic growth effect by using the compactness of the combination of discrete mathematics and data and the characteristics of its discretization.

Research on the Diversified Evaluation Index System and Evaluation Model of Physical Education Teaching in Colleges and Universities

2017 ◽  
Vol 14 (1) ◽  
pp. 99-103 ◽  
Author(s):  
Yongfeng Zhao
Keyword(s):  
Physical Education ◽  
Index System ◽  
Teaching And Learning ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Colleges And Universities ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Fuzzy Evaluation ◽  
Evaluation Indexes

Physical education teaching in colleges and universities is a complicated project for systematic optimization with multiple factors. As a vital approach to enhance the quality of physical education teaching in colleges and universities, it is of great importance to have a scientific, accurate and objective evaluation of physical education teaching. The thesis, on the one hand, analyzes the existent problems during the evaluation course of physical education teaching in colleges and universities; and on the other hand, discusses the related improved measures on the aforementioned basis. In order to update the evaluation index system of physical education teaching in colleges and universities, the thesis, based on the multiple intelligence theory, constructs an evaluation index system of physical education from all-round aspects, i.e., teaching step, teaching and learning step as well as managing step. Furthermore, according to the weight of various evaluation indexes on the foundation of AHP method, plus with the involvement of fuzzy evaluation information, the thesis puts forward with a comprehensive fuzzy evaluation model of physical education teaching in colleges and universities. This model serves as an attempt to effectively evaluate physical education teaching, the validity of which is proved in the case analysis part.

A Model on Supplier Selection in Green Supply Chain Based on BP Neural Network

2011 ◽  
Vol 143-144 ◽  
pp. 312-316 ◽  
Author(s):  
Dao Guo Li ◽  
Zhong Yuan Zhou ◽  
Chen Yang
Keyword(s):  
Neural Network ◽  
Supply Chain ◽  
Bp Neural Network ◽  
Supplier Selection ◽  
Simulation Experiment ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Green Supply Chain ◽  
Evaluation Indexes ◽  
Bp Neural Network Model

Based on the complexity of the evaluation index for supplier selection in green supply chain, this paper puts forward the evaluation index system in green supply chain and presents BP neural network model to select supplier with evaluation indexes as BP neural network's input and the outcome of DEA/AHP model as BP neural network's expected output. It can be proved that the model can effectively select suppliers in green supply chain by simulation experiment with LIINGO 9.0 and MATLAB7.0.

Based on the BP Neural Network of Logistics Equipment Support Capability Evaluation

2012 ◽  
Vol 546-547 ◽  
pp. 1090-1094
Author(s):  
Jian Sheng Hao ◽  
Qi Zhi Huang ◽  
Shu Dong Li
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Evaluation Model ◽  
Assessment Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Engineering Theory ◽  
Simulation Results ◽  
Capability Evaluation ◽  
Theory Research

In this paper, the system engineering theory research logistical equipment safeguard ability assessment method, and established the equipment support of the evaluation index system, using BP neural network can to approximate any nonlinear system advantage, based on the BP neural network of logistics equipment support capability evaluation model for logistics equipment safeguard the ability to provide a new method. The simulation results show that this method can ensure objectivity.

Comprehensive Evaluation Research on the Properties of Sportswear Fabrics

2013 ◽  
Vol 779-780 ◽  
pp. 302-306
Author(s):  
Yan Jun Liu ◽  
Bing Yan Wei
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Research ◽  
Fuzzy Mathematics ◽  
Fiber Structure ◽  
High Quality ◽  
Evaluation Indexes ◽  
Comprehensive Properties ◽  
Comprehensive Evaluation Model ◽  
Comprehensive Property

Fuzzy mathematics were used to evaluate the comprehensive property of fabrics in this paper. This is because fabrics are good or bad is a feeling of Physiology and psychology, used fuzzy mathematics to evaluate its comprehensive properties is objective and accurate. First, the evaluation indexes are selected according to the required performance of sporswear fabrics, and the Fuzzy mathematics was used to establish comprehensive evaluation model, then the comprehensive property of four sportswear fabrics were evaluated based on this comprehensive evaluation model. The evaluation result indicated that polyester cover cleancool fiber structure fabric has the best comprehensive property, this comprehensive evaluation results pruved that this developed sportswear fabric has excelltent comprehensive properties,and it is suitable for making high quality sportswear.

Sign in / Sign up

Export Citation Format

Share Document