An Application of Deep Belief Networks in Early Warning for Cerebrovascular Disease Risk

To reduce the incidence of cerebrovascular disease and mortality, identifying the risks of cerebrovascular disease in advance and taking certain preventive measures are significant. This article was aimed to investigate the risk factors of cerebrovascular disease (CVD) in the primary prevention, and to build an early warning model based on the existing technology. The authors use the information entropy algorithm of rough set theory to establish the index system suitable for early warning model. Then, using the limited Boltzmann machine and direction propagation algorithm, the depth trust network is established by building and stacking RBM, and the back propagation is used to fine-tune the parameters of the network at the top layer. Compared with the LM-BP early-warning model, the deep confidence network model is more effective than traditional artificial neural network, which can help to identify the risk of cerebrovascular disease in advance and promote the primary prevention.

Evaluation method of energy efficiency index of smart energy station based on subjective weight and entropy evaluation method

Smart energy station plays the pivotal role of power grid in energy collection, transmission, conversion and utilization due to its characteristics of multi-station integration. In order to accurately evaluate the energy efficiency level of smart energy stations and achieve economic and efficient electricity consumption, an energy efficiency evaluation system suitable for the form of three stations in one is proposed. Firstly, the influencing factors of energy consumption of each station are analyzed, the index system of smart energy stations is established, and the calculation method of each index is given. Secondly, based on the index system of energy efficiency, through the combination of the subjective weighting method and entropy evaluation method to determine the index weight, combined with the score and weight of energy efficiency for smart energy efficiency assessment, based on three different running environment of wisdom energy station simulation comparison, get the efficiency score, verify the feasibility of the assessment method, and gives specific suggestions on saving energy consumption.

Optimisation of Driver’s Traffic Literacy Evaluation Index from the Perspective of Information Contribution Sensitivity

The practice has proven that relying solely on large-scale transportation facilities cannot fundamentally alleviate urban transportation problems. Since the motor vehicle drivers are the main participants of transportation, they should improve their knowledge of transportation. Moreover, the drivers should equally cope with transportation problems. This paper establishes an evaluation index system for traffic literacy of urban drivers. In addition, it proposes a method of information contribution sensitivity to optimise the index system. The main results and achievement of this paper include the following: (1) A traffic literacy evaluation index system including 13 evaluation indexes such as traffic rules and general knowledge of machinery has been constructed. (2) Based on the calculation results of the sensitivity of the information contribution, the first 10 indexes that satisfy the cumulative information contribution rate’s value of greater than 90% are retained and 3 indexes with lower contribution rates are eliminated. This study provides a theoretical framework and basic methods to evaluate the traffic literacy of urban drivers.

Research on strategic partner selection under industrial agglomeration

<p>The selection of excellent partners for enterprises is crucial to the establishment and operation of industrial agglomeration enterprise alliances. It is not only related to the creation of new market values, the reduction of cost of cooperative enterprises, but also directly affects the efficiency of enterprise alliances. This study analyzes the theory of enterprise cooperation under industrial agglomeration, and establishes the index system, selection method and scientific rational selection process of strategic partner selection under this foundation and background<span style="font-family: 'Times New Roman';">, </span>to provide theoretical guidance for enterprises to choose the best strategic partners for industrial agglomeration.</p>

Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy Language

An effective evaluation of the index system of talent growth factors can lay a solid foundation to build the talent pool, as well as select and establish talents. In this study, based on the theory of “Man-Machine-Environment” system engineering (MMESE), the MMESE talent growth factor index system is proposed and verified for its effectiveness by comparing it with the traditional system. Based on the text-free grammar and transformation function, expert judgments of talent growth factor indexes were transformed into hesitation fuzzy language terms, namely, pertinence, systematicness, practicability, foresight, and dynamics, which were then used to create a dataset to describe the comprehensive evaluation of the index system. The entropy of hesitation fuzzy language terms adopts the algorithm, which calculates the index weights according to the relative entropy values and adjusts the expert weights with the expert group consensus model. The expert evaluation information was weighed and transformed into the corresponding probability language combination which was calculated as the comprehensive evaluation result of the talent growth factor index system.

The influence of X fuzzy mathematical method on basketball tactics scoring

In the selection of basketball players, the determination of the selection index system and the weight of each index is an important prerequisite for whether the selection is scientific or not. Only when the index system is determined and the importance of each index is sorted reasonably can it be guaranteed that the basketball tactics scoring work went smoothly. This research introduces a method of X fuzzy mathematics, called analytic hierarchy process, or AHP for short. The AHP method can be used in regional planning, resource allocation, program selection, policy analysis, conflict analysis, forecast estimation, decision research, etc. The AHP method schematises the thinking process of the human brain analysis program, which can simply, comprehensively, effectively and clearly deal with complex problems restricted by many factors; it is also a quantitative tool that can be used for the measurement of the sports evaluation system.

Research on the Mediating Effect of Corporate Governance Behavior between GEM and Governance Performance of Listed Companies on the Growth Enterprise

At the end of 2019, the sudden attack of the COVID-19 brought huge challenges to the management, operation and development of listed companies. In view of the suddenness of the epidemic, the internal governance of listed companies is even more important! The index system, governance structure and performance, structure and behavior, structure and performance of the proposed hypotheses affected by the behavior of the index system, the 2019-2020 China GEM listed companies as a sample of equity concentration, and the human capital board of directors as the sample explanatory variable , Business performance, innovation performance are dependent variables, supervision and behavior, as an intermediary to encourage behavior, related test hypotheses, verify the path that Chinese companies listed in the GEM governance structure affect governance performance through behavior.

Research on the Mediating Effect of Corporate Governance Behavior Between GEM and Governance Performance of Listed Companies on the Growth Enterprise

At the end of 2019, the sudden attack of the COVID-19 brought huge challenges to the management, operation and development of listed companies. In view of the suddenness of the epidemic, the internal governance of listed companies is even more important! The index system, governance structure and performance, structure and behavior, structure and performance of the proposed hypotheses affected by the behavior of the index system, the 2019-2020 China GEM listed companies as a sample of equity concentration, and the human capital board of directors as the sample explanatory variable , Business performance, innovation performance are dependent variables, supervision and behavior, as an intermediary to encourage behavior, related test hypotheses, verify the path that Chinese companies listed in the GEM governance structure affect governance performance through behavior.

The Construction of a Poverty Return Risk Indicator System under Rural Revitalization: Taking the Poor Households in Guangdong Province

This paper consists a return-to-poverty risk indicator system including indicators such as the per capita annual income of poverty-stricken families, the implementation of policies, and the gender of the head of the household. Using a combination of analytic hierarchy process and fuzzy evaluation method, 50 poor households with registered cards in Guangdong Province in 2020 were taken as the research objects, and quantitative analysis of the index system was carried out. The results show that the per capita annual household income is the most influential indicator, and policy coverage, policy effectiveness, and per capita annual household expenditure also have a significant impact.

Design and Application of English Grammar Intelligent Question Bank System

The English grammar question bank can reserve a large number of special knowledge points and special categories of questions, which is helpful for English learners. Therefore, we design and verify the application effect of an intelligent question bank system. We construct an English grammar knowledge map, which is used to design the system architecture, including basic layer, data layer, service layer, business layer, and user layer. On the basis of the system structure, the index system of the item bank is established, and the functional modules of the system are designed comprehensively. Finally, we design a system database based on MySQL and give the table of knowledge points of English grammar. In order to verify the performance of the designed English grammar intelligent test bank system, a verification experiment is carried out. The experiment selects the accuracy rate of English grammatical feature extraction, recall rate, convergence, and system configuration accuracy. The experimental results show that the proposed system can extract English grammatical features with higher accuracy, and the recall rate is more satisfactory. Compared with the reference systems, the designed system configuration accuracy is higher.