scholarly journals Design of English Learning Effectiveness Evaluation System Based on K-Means Clustering Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Tongyao Zhang
Keyword(s):  
Evaluation System ◽  
Clustering Algorithm ◽  
Evaluation Model ◽  
Effectiveness Evaluation ◽  
Learning Effectiveness ◽  
English Learning ◽  
Consistent Estimate ◽  
Functional Modules ◽  
Delay Jitter ◽  
The World

English is the universal language of the world. In the context of global economic integration, English learning is not only an essential course for business elites but also a required course for the general public. Currently, in colleges and universities across the world, English is presented as a compulsory first foreign language course. Therefore, how to improve the effect of English performance assessment in the context of smart teaching has become an important part of smart English teaching. Due to the influence of interference factors, human factors, or external factors, the traditional English language teaching evaluation system has the problems of high system sensitivity, long envelope delay jitter time, and short stationary state maintenance time. Therefore, this study develops an English learning effectiveness evaluation system based on a K-means clustering algorithm. The SQL Server 2005 database management software is used to develop the system database; various functional modules of the system are designed using ActiveX, with emphasis on the design of scoring functional modules; and different roles and permissions are given to administrators, teachers, and students. A student English learning effectiveness evaluation model based on BP neural network training and K-means clustering algorithm is designed to optimize the English learning effectiveness evaluation model and achieve effective English learning by solving the consistent estimate of the effectiveness of English learning assessment. The performance test results show that the proposed system has a lower sensitivity coefficient, a shorter envelope delay jitter time, and a longer period of steady-state maintenance, indicating that the system can achieve stable operation.

scholarly journals Evaluation Algorithm of Labor Legal Effectiveness for Affirmative Action against Gender Discrimination

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Liao Juan
Keyword(s):  
Affirmative Action ◽  
Gender Discrimination ◽  
Evaluation System ◽  
Clustering Algorithm ◽  
Evaluation Model ◽  
Rank Correlation ◽  
Entropy Method ◽  
Evaluation Index ◽  
Effectiveness Evaluation ◽  
Evaluation Algorithm

Aiming at the problems of large evaluation error and low accuracy of determining the key degree of evaluation indicators in the existing evaluation of labor legal effectiveness, this paper designs a labor legal effectiveness evaluation algorithm for affirmative action against gender discrimination. Firstly, using hits degree, the degree of gender discrimination, and social influence, enterprise practice and government supervision and management are determined as the evaluation indexes of labor legal effectiveness in this paper, and on this basis, the labor legal effectiveness evaluation system against gender discrimination is designed. Then, the judgment matrix of the evaluation index of labor legal effectiveness against gender discrimination is constructed. After normalization, the weight of the evaluation index is calculated by entropy method, which lays a foundation for subsequent research. Finally, the tree enhanced Bayesian network is used to classify the labor legal effectiveness evaluation indicators, and the correlation between the indicators is determined through the Spearman rank correlation coefficient. Finally, the labor legal effectiveness evaluation model against gender discrimination is designed through the clustering algorithm, and the labor legal effectiveness evaluation indicators against gender discrimination are input to complete the effective evaluation. The experimental results show that the error of the evaluation algorithm is small, and the accuracy of determining the key degree of the evaluation index is high.

scholarly journals Research on Accounting Intelligence System Modeling of Financial Performance Evaluation

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ziyue Chen
Keyword(s):  
Sustainable Development ◽  
Performance Evaluation ◽  
Financial Performance ◽  
Evaluation System ◽  
Clustering Algorithm ◽  
Evaluation Model ◽  
System Modeling ◽  
Listed Companies ◽  
Enterprise Management ◽  
The Sustainable Development

In the current competitive market environment, both enterprises and academia attach great importance to the research of financial performance evaluation. The quality of financial performance directly affects the sustainable development of enterprises. With the deepening of enterprise management concept, enterprises pay more attention to the use of financial performance evaluation analysis to promote the sound development of the whole enterprise. In order to understand the development status and development trend of enterprises and improve the efficiency of enterprise management, it is of great significance to establish a scientific and professional financial performance evaluation model for the sustainable development of enterprises. In this paper, based on FCM clustering algorithm, a fuzzy decision model is established. Combined with the factors affecting the financial performance of enterprises, the corresponding indicators are selected from the four aspects of profitability, operation ability, debt paying ability, and development ability to construct the financial performance evaluation system, and the comprehensive fuzzy evaluation model is constructed according to the financial evaluation system. This paper selects listed companies as the research object to evaluate and analyze the performance of enterprises. The results show that the overall performance of listed companies is not ideal and solvency, operation ability, and development ability need to be enhanced. Finally, in view of the problems existing in the listed enterprises, this paper puts forward the following countermeasures: implement cost assessment and pay attention to cost analysis to strengthen cost control; strengthen the cooperation between industrial chain enterprises and R&D departments; and pay attention to the use of talents and improve the ability of independent innovation.

Study on the Effectiveness Evaluation System of Construction Enterprise Management Based on TOPSIS Model

2014 ◽  
Vol 1065-1069 ◽  
pp. 2545-2549
Author(s):  
Bo Liu ◽  
Li Rong Bao
Keyword(s):  
Management System ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Enterprise Management ◽  
Effectiveness Evaluation ◽  
Construction Enterprise ◽  
Social Satisfaction ◽  
Learning Evaluation ◽  
Enterprise Management System

The effectiveness evaluation index system of construction enterprise management system is constructed on the basis of the following four aspects: business development, social satisfaction, financial evaluation, internal management and learning evaluation. By using TOPSIS-GAHP method, effectiveness evaluation model of construction enterprise management system is constructed.

Performance evaluation of English learning through computer mode using neural network and AI techniques

2020 ◽  
pp. 1-11
Author(s):  
Peng Nianfan
Keyword(s):  
Neural Network ◽  
Performance Evaluation ◽  
Evaluation System ◽  
Wavelet Packet ◽  
Evaluation Model ◽  
Model Performance ◽  
Learning Performance ◽  
Learning Goals ◽  
English Learning ◽  
Artificial Intelligence Technology

Learning performance evaluation is an important part of computer English teaching. Through evaluation, students can understand whether they have reached the learning goals of a lesson, and what are their shortcomings, so that they can continuously improve and improve themselves against these shortcomings. Combining actual needs, based on neural network and artificial intelligence technology, this paper constructs a computer English learning performance evaluation model based on machine learning. The computer English learning performance evaluation system in this paper is constructed on the basis of auditory characteristics and introduces a wavelet entropy feature based on the best tree wavelet packet decomposition, and it is applied to the establishment of an adaptive model. Moreover, this paper uses controlled experiments to analyze the model performance and combines mathematical statistics to visually display the model effect. From the research results, it can be seen that the performance of the model constructed in this paper basically meets the expected requirements and actual needs.

Fuzzy Comprehensive Evaluation of Human Performance Management

2013 ◽  
Vol 756-759 ◽  
pp. 715-719
Author(s):  
Huan Cheng Zhang ◽  
Ya Feng Yang ◽  
Feng Li ◽  
Li Nan Shi
Keyword(s):  
Performance Management ◽  
Evaluation System ◽  
Human Performance ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Process ◽  
College Performance ◽  
Performance Evaluation System ◽  
Comprehensive Evaluation Model

In the College, performance evaluation system is directly related to the harmonious development of the school. Taking into account the factors in the evaluation system is fuzzy, so this paper uses fuzzy comprehensive evaluation model. But the model is too subjective, so this paper combines neural network and data envelopment analysis method, which ensures that fuzzy comprehensive evaluation model is reasonable and scientific, and good school development and teacher self-interest. The performance assessment process, not only enables the combination of qualitative and quantitative analysis, but also fair and reasonably reflect the achievements of teachers, while this method is easy to use, wide application, and can be well applied in practice.

Hybrid fuzzy interface model of sports rehabilitation activities

2021 ◽  
pp. 1-10
Author(s):  
Wu Shoujiang
Keyword(s):  
Evaluation System ◽  
Clustering Algorithm ◽  
Mixed Model ◽  
Expectation Maximization Algorithm ◽  
Rehabilitation Training ◽  
Development Platform ◽  
Longitudinal Tracking ◽  
Database Structure ◽  
The Matrix ◽  
Matrix Normal

At present, the relevant test data and training indicators of athletes during rehabilitation training lack screening and analysis, so it is impossible to establish a long-term longitudinal tracking research system and evaluation system. In order to improve the practical effect of sports rehabilitation activities, this paper successively introduces the matrix normal mixed model and the fuzzy clustering algorithm based on the K-L information entropy regularization and the matrix normal mixed model. Moreover, this paper uses the expectation maximization algorithm to estimate the parameters of the model, discusses the framework, key technologies and core services of the development platform, and conducts certain research on the related technologies of the three-tier architecture. At the same time, according to the actual needs of sports rehabilitation training, this paper designs the functions required for exercise detection and prescription formulation. In addition, this paper analyzes and designs the database structure involved in each subsystem. Finally, this paper designs experiments to verify the performance of the model constructed in this paper. The research results show that the performance of the model constructed in this paper meets the expectations of model construction, so it can be applied to practice.

Study on Civil Architecture Energy Conservation Efficiency Fuzzy Synthetic Evaluation

2011 ◽  
Vol 94-96 ◽  
pp. 2292-2296
Author(s):  
Yong Ping Wang ◽  
Pei Yang ◽  
Chun Quan Dai
Keyword(s):  
Energy Conservation ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Methodology ◽  
Efficiency Evaluation ◽  
Fuzzy Synthetic Evaluation ◽  
Conservation Efficiency ◽  
Synthetic Evaluation

Civil architecture energy conservation efficiency evaluation is a kind of multi-factors, multi-hierarchies and multi-criteria synthetic evaluation. Perfect civil architecture energy conservation efficiency evaluation indicators system and reasonably effective synthetic evaluation methodology are keys to do energy conservation efficiency synthetic evaluation. This paper is based on framing civil architecture energy conservation efficiency evaluation system, and uses fuzzy synthetic evaluation methodology to frame civil architecture energy conservation efficiency fuzzy synthetic evaluation model, in order to make the result of evaluation more objective and reasonable.

Development of an Evaluation Model of Freeway Traffic Safety Facilities System

2013 ◽  
Vol 734-737 ◽  
pp. 1578-1581
Author(s):  
Yan Yong Guo ◽  
Yao Wu ◽  
Liang Song ◽  
Hui Duan
Keyword(s):  
Traffic Safety ◽  
Evaluation System ◽  
Evaluation Model ◽  
Variation Coefficient ◽  
Freeway Traffic ◽  
Evaluation Result ◽  
Single Index ◽  
Recognition Theory ◽  
Attribute Measure ◽  
Attribute Recognition

This study developed an evaluation model of freeway traffic safety facilities system. Firstly, an evaluation system of freeway traffic safety facility was proposed. Secondly, an evaluation model was proposed based on attribute recognition theory. And the evaluation result was identified according to the attribute measure value of single index and the comprehensive attribute measure value of multiple indexes as well as the confidence criterion. Thirdly, the weight of each indicator was decided by variation coefficient. Finally, A case of TAI-GAN freeway (K1+242~K3+259 segment) was conducted to verify the feasibility and effectiveness of the model.

Research on Combat Effectiveness Evaluation of Radar EW System Based on Bayesian Network

2011 ◽  
Vol 204-210 ◽  
pp. 1697-1700 ◽  
Author(s):  
Yu Jie Zheng
Keyword(s):  
Bayesian Network ◽  
Evaluation Model ◽  
Effectiveness Evaluation ◽  
Analysis Model ◽  
Key Factors ◽  
Bayesian Network Model ◽  
Simulation Data ◽  
Factors Analysis ◽  
Combat Effectiveness ◽  
Hidden Knowledge

Radar EW system combat effectiveness evaluation is a essential link to Radar system Demonstration, mainly give service to selection, optimization and key factors analysis of Weapon equipment scheme. In this paper, we introduce the Bayesian network model into the area of Radar EW system combat effectiveness evaluation and put forward the concept of combat effectiveness evaluation model based on Bayesian network. The ability to express complex relationship, the ability to express the uncertainty of probability, and the reasoning functions. By learning from Expertise and Simulation data, excavating the hidden knowledge included in both of them, we can build the combat efficiency Analysis model, and then carry out efficient analysis.

Evaluation of emergency management capability of urban community based on entropy weight and multi-layer fuzzy

2021 ◽  
pp. 1-9
Author(s):  
Wang Yuansheng ◽  
Zhang Ying ◽  
Guo Xinyao
Keyword(s):  
Emergency Management ◽  
Index System ◽  
Comprehensive Evaluation ◽  
Urban Community ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Entropy Weight ◽  
Management Capability ◽  
The World ◽  
Comprehensive Evaluation Model

At present, various public emergencies occur frequently around the world, and the world has entered the stage of a “high-risk society”. Urban community as the carrier of all kinds of public emergencies, its role has become increasingly prominent and become the focus of the current research, but in the urban community emergency management capacity evaluation system, the related studies are still less. To more effectively identify the key internal and external factors that affect the emergency management ability of the urban community, and evaluate scientifically and effectively, on the basis of the existing studies, the evaluation index system of community emergency management capability was established according to the emergency management cycle theory. In view of the complexity and fuzziness of the emergency management capability of the urban community, a multi-layer fuzzy comprehensive evaluation model based on entropy weight was established, and the emergency management capability evaluation of community was carried out under the background of the public emergency event of COVID-19 epidemic. The results show that the evaluation results and improvement suggestions of the multi-layer fuzzy comprehensive evaluation model based on entropy weight are consistent with the actual situation, indicating that the index system and the selected method are reasonable and effective. This study provides a new decision-making idea and method for the evaluation of urban community emergency management capability, and has high application value.

Sign in / Sign up

Export Citation Format

Share Document