scholarly journals Evaluating the Investment Climate for China’s Cross-Border E-Commerce: The Application of Back Propagation Neural Network

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 526
Author(s):  
Yi Lei ◽  
Xiaodong Qiu
Keyword(s):  
Neural Network ◽  
Index System ◽  
Evaluation System ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Investment Climate ◽  
Cross Border

China’s cross-border e-commerce will usher in a new golden age of development. Based on seven countries which include the Russian Federation, Mongolia, Ukraine, Kazakhstan, Tajikistan, Kyrgyzstan and Belarus along the “Belt and Road”, an evaluation system for cross-border e-commerce investment climate indicators is established in this study. This research applied the entropy method twice to evaluate the investment climate of seven countries based on 5 years panel data comprehensively and these countries are then classified into politics-oriented and industry-oriented countries, and then the weight of indicators for each category is analyzed. In addition, cross-border e-commerce investors are proposed to prioritize industry-oriented countries. Back propagation neural network algorithm is used to map the existing data and optimize the evaluation index system in combination with the genetic algorithm. This research denotes the effort to find out the index evaluation combination corresponding to the best overall score, make the established evaluation index system applicable to other countries, and provide reference for cross-border e-commerce investors when evaluating the investment climate in each country. This study provides the important practical implications in the sustainable development of China’s cross-border e-commerce environment.

Study on Evaluation Index System of Traffic Simulation under the Concept of Low-Carbon

2012 ◽  
Vol 178-181 ◽  
pp. 2648-2653
Author(s):  
Hui Zhao ◽  
Jun Hua Chen
Keyword(s):  
Traffic Safety ◽  
Index System ◽  
Evaluation System ◽  
Evaluation Method ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Low Carbon

Evaluation index system of traffic simulation is very important to compare the difference of several cases, which contributes to the advance of traffic simulation models and technologies. Under the concept of low-carbon, the paper establishes evaluation index system of traffic simulation. Firstly, the paper analyzes the requirements of the evaluation index system of traffic simulation from two aspects which are the application characteristics and the application under the concept of low-carbon of traffic simulation models and technologies. On the basis of analysis above, it establishes the evaluation index system of traffic simulation which concludes road network structure index, traffic operation state index, traffic environment index and traffic safety index. It proposes the application rules of evaluation index system. Then, it proposes the two-level combined evaluation method for calculating weights on the basis of comparative analysis about two methods, which are the analytic hierarchy process (AHP) method and entropy method. Finally, it applies the proposed evaluation system to calculate the comprehensive index values of two transit operation cases of Beijing Olympic Games Opening Ceremony audience evacuation. It is shown that evaluation index system of traffic simulation is practicable and effective.

scholarly journals User Experience Evaluation of Cross-Channel Consumption: Based on Grounded Theory and Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hua Yang ◽  
Huiying Wei ◽  
Xiang He ◽  
Yue Yan ◽  
Xiaoju Liu
Keyword(s):  
Neural Network ◽  
Grounded Theory ◽  
User Experience ◽  
Index System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Theoretical Research ◽  
Evaluation Index ◽  
Channel Switching ◽  
Depth Analysis

With the rapid development of e-commerce technology, cross-channel consumption has become the mainstream mode of contemporary consumers. However, there are several problems of cross-channel consumption such as inconsistency of online and offline channel information and service, disfluency of channel switching which have brought adverse effects on user experience. The question arises here as to what factors influence user experience and how to build a scientific and effective evaluation index system. Different from previous studies based on sellers, this paper used grounded theory to analyze and summarize the evaluation index system of user experience under cross-channel consumption from the perspective of consumers. We summarized and refined four first level indexes which are “online platform attribute, offline entity attribute, channel switching attribute, and individual demand” and 13 second level indexes which are “platform operation, platform information, platform service, platform promotion, product quality, service quality, environment quality, channel consistency, channel switching cost, channel switching fluency, psychological expectation, personal interests and individual needs.” Then, we used BP neural network to build the evaluation model and trained and simulated the performance of the sample. The results show that the evaluation model has a good generalization ability and can effectively evaluate user experience under cross-channel consumption. Finally, implications and limitations are also discussed. This study helps to enrich the theoretical research on user experience and consumer behavior. It also provides targeted basis for in-depth analysis of cross-channel consumption behavior, establishment of user experience evaluation index system, and improving user experience and multichannel management of physical stores.

Study on the Design and Evaluation of the Logistics Information System for the Small-and Medium-Sized Enterprises

2013 ◽  
Vol 756-759 ◽  
pp. 1630-1634
Author(s):  
Zhen Li ◽  
Yan Li
Keyword(s):  
Information System ◽  
Index System ◽  
Evaluation System ◽  
Evaluation Index System ◽  
Competitive Market ◽  
Evaluation Index ◽  
Logistics Information System ◽  
Logistics Information ◽  
Value Flow ◽  
Set Up

The operation of logistics information system determines the efficiency of the information and value flow in the modern competitive market. The paper tries to set up a logistics information system, which is mainly based on the collection, mining and application of data, and to establish an evaluation system, consisting of evaluation principles and evaluation index system, for the logistics information system.

Research on the Environmental Performance Audit Evaluation Index System Construction of Country Government in China

2014 ◽  
Vol 962-965 ◽  
pp. 2133-2136 ◽  
Author(s):  
Lin Ji ◽  
Ming Xin Cui
Keyword(s):  
Index System ◽  
Environmental Performance ◽  
Evaluation System ◽  
Field Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
System Construction ◽  
International Environment ◽  
Performance Audit ◽  
Environment Performance

The article reviews systematically the domestic and international environment performance audit evaluation index system, and explores the problems existing in the present evaluation system: Application areas are more concentrated on the main micro enterprises; There is a lack of performance evaluation of macro field; Evaluation index is not concrete. And then the article constructs our country environment performance audit evaluation index system.

Application of the Back Propagation Neural Network Model on the Supplier Evaluation in E-Manufacturing Environment

2009 ◽  
Vol 16-19 ◽  
pp. 174-177
Author(s):  
Jian Chen ◽  
Ming Hong Wu ◽  
Ilias Oraifige
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Evaluation System ◽  
Supplier Selection ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Supplier Evaluation ◽  
Test Results ◽  
Model Training

The supplier evaluation is a key section of the intelligent internet supplier selection & evaluation system. The model used for supplier evaluation is Back Propagation Neural Network model which is introduced in the paper. The paper started with the brief introduction of the intelligent internet supplier selection & evaluation system. It provides a outline of the research project and then it concentrated to introduce the application of the BP NN model for supplier evaluation. The application introduced in the paper will include the design of the BP NN model, Training of the BP NN model and test results.

Study on Modeling for Comprehensive Quality of Music Graduate Students Evaluation System

2014 ◽  
Vol 590 ◽  
pp. 911-915
Author(s):  
Hong Mei Cao ◽  
Meng Tian Cui ◽  
Li Mei Jia
Keyword(s):  
Graduate Students ◽  
Index System ◽  
Questionnaire Survey ◽  
Evaluation System ◽  
Optimization Problems ◽  
Evaluation Index System ◽  
System Model ◽  
Evaluation Index ◽  
Decision Management

The evaluation system about comprehensive quality of music graduated students was introduced in the paper. The methods of AHP were proposed to optimize evaluation system model. Meanwhile, the evaluation index system of the comprehensive quality of music graduate students is established. Then, the model was established and the solving was given according to the construction of evaluation index system principles. AHP is proposed to establish the weight of evaluation based on the receipt questionnaire survey from related experts. In the end, a example provided demonstrates the application in choice of the best student and it was proved that methods proposed is efficient to solve the optimization problems about the more complex, more fuzzy the decision management.

Study of the Crane Comprehensive Evaluation Index System

2011 ◽  
Vol 148-149 ◽  
pp. 923-927
Author(s):  
Qi Lu Huang ◽  
Xin Wang ◽  
Rui Jie Li ◽  
Shun De Gao
Keyword(s):  
Correlation Coefficient ◽  
Delphi Method ◽  
Index System ◽  
Comprehensive Evaluation ◽  
Pearson Correlation ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
The Index System ◽  
Coefficient Method

Scientific and practical crane evaluation index system is expected to obtain by screening of indices in this paper. The initial comprehensive evaluation indices are selected by stratification. Then the quantitative indices are screened by entropy method and Pearson correlation coefficient method, and the qualitative indices are screened by Delphi method and Spearman correlation coefficient method. The little effect indices on the evaluation result are deleted and the redundant information between the indices are got rid of. The index system simplified is comprehensiveness and representative, which is convenient to compare and evaluate cranes.

Study on the Evaluation of Scientific Research Achievements Based on the BP Neural Network

2012 ◽  
Vol 170-173 ◽  
pp. 3436-3439
Author(s):  
Xiao Hui Hou ◽  
Lei Huang ◽  
Xue Fei Li
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Index System ◽  
Evaluation Method ◽  
Scientific Research ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Evaluation Result ◽  
Set Up ◽  
Solution Efficiency

The scientific research achievements are evaluated based on the BP neural network method which is developed in this paper. According to the analysis and consult with the well-known experts, set up the evaluation index system of scientific research achievements, and based on it, the BP neural network model which is used to evaluate the scientific research achievements is established. Through an actual example, in order to improve the solution efficiency, use the Matlab software to solve the model and get the evaluation result of the scientific research achievements in the example. The evaluation result has high accuracy and could meet the basic actual needs. The evaluation method which is set up in this paper will benefit to our country's evaluation index system of the scientific research achievements and will promote the development of evaluation methods of the scientific research achievements.

scholarly journals Application of an Artificial Neural Network to Evaluate the Integration Effect of Quality Education and Skill Education

2021 ◽  
Vol 16 (07) ◽  
pp. 218
Author(s):  
Cai Bai ◽  
Wei Huang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Index System ◽  
Quality Education ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Ann Model ◽  
Current State ◽  
Integration Effect ◽  
Artificial Neural

Quality education is the basis, driver, and inspirer of skill education. These two education models can complement and interact with each other. However, few scholars have discussed the current state and future trend of the integration between the two models, not to mention quantifying the integration effect. This paper applied the artificial neural network (ANN) to evaluate the integration effect of quality education and skill education, owing to the advantages of the ANN in processing nonlinear information adaptively. First, the subjects and motivation mechanismss of the integration between the two models were analyzed. Then, an evaluation index system was established for the integration effect. After that, an ANN model was created for the compatibility of evaluation indexes and used to predict the integration effect. Experimental results verified the reasonability of the proposed evaluation index system, and the effectiveness of the proposed model. Finally, the current state of the integration was analyzed based on the prediction results.

A Quantitative Analysis of Regional Differences in Urban-Rural Integration - A Case Study of the Shandong Peninsula Blue Economic Zone

2011 ◽  
Vol 71-78 ◽  
pp. 4748-4755
Author(s):  
Jing Qing Lv ◽  
Pei Pei Liu ◽  
Yan Wei
Keyword(s):  
Quantitative Analysis ◽  
Index System ◽  
Composite Index ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Shandong Peninsula ◽  
Urban Rural ◽  
Economic Zone ◽  
Development Levels

Applying composite index leading to an evaluation index system of urban-rural integration, using entropy method for secondary weighting, a model is constructed of quantitative analysis of the regional urban-rural integration. This paper has made a quantitative analysis of the development levels of regional urban-rural integration in the case of the Shandong Peninsula Blue Economic Zone. The research results show that in the problem of multi-target integrated evaluation, the application of composite index, constructing evaluation index system, enables the evaluation process to cover more assessment information without any increase in calculation steps. Application of the model presented in this paper makes feasible a quantitative analysis of the regional urban-rural development.

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