Risk evaluation of urban rainwater system waterlogging based on neural network and dynamic hydraulic model

2020 ◽  
Vol 39 (4) ◽  
pp. 5661-5671
Author(s):  
Cai Zhiming ◽  
Li Daming ◽  
Deng Lianbing
Keyword(s):  
Neural Network ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Rapid Development ◽  
Drainage System ◽  
Fuzzy Comprehensive Evaluation ◽  
Hydraulic Model ◽  
Risk Level ◽  
System Construction

With the rapid development of urban construction and the further improvement of the degree of urbanization, despite the intensification of the drainage system construction, the problem of urban waterlogging is still showing an increasingly significant trend. In this paper, the authors analyze the risk evaluation of urban rainwater system waterlogging based on neural network and dynamic hydraulic model. This article introduces the concept of risk into the study of urban waterlogging problems, combines advanced computer simulation methods to simulate different conditions of rainwater systems, and conducts urban waterlogging risk assessment. Because the phenomenon of urban waterlogging is vague, it is affected by a variety of factors and requires comprehensive evaluation. Therefore, the fuzzy comprehensive evaluation method is very suitable for solving the risk evaluation problem of urban waterlogging. In order to improve the scientificity of drainage and waterlogging prevention planning, sponge cities should gradually establish rainwater impact assessment and waterlogging risk evaluation systems, comprehensively evaluate the current capacity of urban drainage and waterlogging prevention facilities and waterlogging risks, draw a map of urban rainwater and waterlogging risks, and determine the risk level. At the same time, delineate drainage and waterlogging prevention zones and risk management zones to provide effective technical support for the formulation of drainage and storm waterlogging prevention plans and emergency management.

Fuzzy Comprehensive Evaluation of Trading Regulatory Risk for a Unified and Interconnected Electricity Market in China

2014 ◽  
Vol 1070-1072 ◽  
pp. 1486-1490
Author(s):  
Yin Fang ◽  
Zhi Qiang Zhao ◽  
Chun Cheng Gao ◽  
Yong Dai ◽  
Shu Hong Shi
Keyword(s):  
Electricity Market ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Fuzzy Inference ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Risk Level ◽  
Risk Levels ◽  
Risk Indices ◽  
Evaluation Models

Trading regulatory risk arises prominently in the preliminary formulation of a unified and interconnected electricity market in China. Risk indices, evaluation models and methods as well as index weights are three important aspects of a comprehensive trading regulatory risk evaluation. In this paper, firstly, on the basis of the current electricity market environment in China, systematic trading regulatory risk indices used to quantify the risk level of the unified and interconnected electricity market are established. Secondly, evaluation models and a evaluation method of the trading regulatory risk are developed on the basis of synthesis of fuzzy inference and analytic hierarchy process (AHP). The fuzzy set approach is employed to identify the membership degree of each index to various risk levels, while the AHP is used to acquire the weights of the proposed trading regulatory risk indices. Finally, a simulation based case study on the trading regulatory risk evaluation is presented to illustrate the effectiveness of the proposed indices and the evaluation method.

scholarly journals Risk Evaluation of Bidding for Wind Farm Construction Project

2019 ◽  
Vol 9 (1) ◽  
pp. 71
Author(s):  
Yonghua Wang ◽  
Guosheng Hu ◽  
Jia-xin Zhang
Keyword(s):  
Risk Evaluation ◽  
Construction Projects ◽  
Wind Farm ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Rapid Development ◽  
Construction Project ◽  
Fuzzy Comprehensive Evaluation ◽  
Energy Company ◽  
Element Method

With the rapid development and growth of the installed capacity of wind power generation in China, more and more attention has been paid to the risk of wind farm construction projects. Based on the extension element method and the multi-level fuzzy comprehensive evaluation method, this paper makes an empirical analysis on the bidding risk of the wind farm construction project of Xintiandi energy company in Hebei province. The research shows that the extensible matter element method can provide effective support for decision makers because there are no different evaluation principles and more accurate risk evaluation.

A New Method to Predict Gas Production Based on Fuzzy BP Artificial Neural Network

2014 ◽  
Vol 1044-1045 ◽  
pp. 688-691
Author(s):  
Ran Zhang ◽  
Jun Zhou ◽  
Cheng Yong Li
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Gas Production ◽  
Gas Well ◽  
Well Productivity ◽  
Qualitative Factors ◽  
Productivity Prediction

BP neural network has been successfully used in the gas well productivity prediction, but as a result of neural network is sensitive to the number of input parameters, we had to ignore some factors that is less important to the gas well productivity. In addition, the existing various productivity prediction method cannot consider the influence of some important qualitative factors. This article integrated the advantages of fuzzy comprehensive evaluation and BP neural network, fuzzy comprehensive evaluation method is used to construct the BP neural network's input matrix, and BP neural network learning function is used to solve the connection weights, so as to achieve the aim of predicting gas production. This method not only can consider as many factors influence on gas well production, ut also can consider qualitative factors, so the forecast results of the new model are more realistically close to the actual production situation of reservoirs.

Safety Assessment of Transmission Grid Based on Fuzzy Comprehensive Evaluation and BP Neural Network

2010 ◽  
Vol 439-440 ◽  
pp. 528-533
Author(s):  
Yuan Sheng Huang ◽  
Wei Fang ◽  
Cheng Fang Tian
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Safety Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Transmission Grid ◽  
Comprehensive Evaluation Method ◽  
System Method ◽  
Grid Based

In the practice of safety assessment on transmission grid, there is the variation degree of many indexes which can not be accurately described, and fuzzy comprehensive evaluation method can reflect the safety degree of every element. In addition, the combination use of BP neural network and expert system method can determine impact extent of assessment factors on safety of transmission grid and the weight of each factor relative to safety of transmission grid. Therefore, the paper proposes the safety assessment of transmission grid based on BP neural network and fuzzy comprehensive evaluation. Finally, an example is used to prove the method is high precision and practical.

scholarly journals Fuzzy Comprehensive Evaluation Model of M&A Synergy Based on Transfer Learning Graph Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Mingxun Zhu ◽  
Zhigang Meng
Keyword(s):  
Neural Network ◽  
Mergers And Acquisitions ◽  
Transfer Learning ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Rapid Development ◽  
Fuzzy Comprehensive Evaluation ◽  
Rate Of Change ◽  
Synergy Effect ◽  
Important Indicator

With the rapid development of modern China and the influx of capital, the number of companies has gradually increased. However, most companies cannot operate for a long time due to various reasons. Therefore, mergers and acquisitions have occurred. Large companies merge small companies to some extent. The number of employees can be guaranteed, and the market can be stabilized. However, mergers and acquisitions also have higher risks. As the pace of mergers and acquisitions accelerates, there are more and more cases of failed mergers and acquisitions. The synergy effect of mergers and acquisitions is an important indicator to judge the performance of mergers and acquisitions. This article measures the synergy obtained by the main enterprise from the perspective of performance changes, establishes an evaluation model through the rate of change of financial indicators and migration learning, estimates it through a neural network model, and conducts an empirical analysis on it. The transfer learning neural network has been studied in depth. The research of this article is to accurately assess the synergy effect obtained after mergers and acquisitions and to analyze whether the company can profit from mergers and acquisitions, so as to provide a reference for subsequent mergers and acquisitions between companies.

scholarly journals Mobile E-Commerce Information System Based on Industry Cluster under Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jun Liu ◽  
Baixiang Pan ◽  
Xiaheng Zhang ◽  
Doudou Li
Keyword(s):  
Information System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Rapid Development ◽  
Fuzzy Comprehensive Evaluation ◽  
Industrial Clusters ◽  
Mobile Internet ◽  
Edge Computing ◽  
Relationship Analysis ◽  
Internet Networks

Mobile e-commerce is e-commerce implemented on mobile devices, such as mobile phones, and mobile Internet networks as we usually understand. With the rapid development of mobile electronic devices and mobile Internet networks, this new type of e-commerce field has gradually emerged. In the context of edge computing, this paper takes mobile e-commerce information system as the research object and aims to study the mobile e-commerce information system based on industry clusters under edge computing. First of all, this paper expounds the theory of industrial clusters and the manifestations of e-commerce industrial clusters, as well as the concept and technical framework of the Internet of Things, and proposes the order relationship analysis method and the fuzzy comprehensive evaluation method, and conducts experiments in the form of questionnaires. The experimental results show that, from the perspective of industrial integration, with a correlation coefficient of 0.687, there is a significant positive correlation between e-commerce information system and supply chain cooperation.

scholarly journals Research on Safety Risk Assessment Method of Highway Bridge Construction Based on AHP-Fuzzy Comprehensive Evaluation

2021 ◽  
Vol 248 ◽  
pp. 03020
Author(s):  
Zhuang Guofeng
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Highway Bridges ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Safety ◽  
Risk Level ◽  
Bridge Construction ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Safety Risk ◽  
Comprehensive Evaluation Method

The quality of road and bridge engineering is directly related to the safety of the transportation industry. In the construction of highway bridges, it is particularly important to strictly control the construction quality. Combining the analytic hierarchy process and the fuzzy comprehensive evaluation method, the AHP-fuzzy comprehensive evaluation method is used to obtain the current road bridge construction safety risk level. According to the different risk levels, effective measures should be taken to avoid unsafe accidents. On this basis, historical risk cases can be analyzed to find problems in the safety assessment of highways and bridges, and effective construction safety management and control measures can be put forward to ensure the vigorous development of my country’s highway and bridge industry.

scholarly journals Key Factors Identification and Risk Assessment for the Stability of Deep Surrounding Rock in Coal Roadway

2019 ◽  
Vol 16 (15) ◽  
pp. 2802 ◽  
Author(s):  
Dongmei Huang ◽  
Weijun Li ◽  
Xikun Chang ◽  
Yunliang Tan
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Mining Area ◽  
Surrounding Rock ◽  
Risk Level ◽  
Affecting Factors ◽  
Key Factors ◽  
The Stability

In order to evaluate the stability of deep surrounding rock, all of the affecting factors should be theoretically identified. However, some factors have slight impacts on the stability of deep surrounding rock compared with others. To conduct an effective risk assessment, key factors should be first extracted. The analytic hierarchy process (AHP) and grey relation analysis (GRA) methods are integrated to determine the key factors. First, the AHP method is applied to sort the factors by calculating the weights of them. Seven out of fifteen factors are extracted as the key factors, which account for 80% of the weights. Further, the GCA method is used to validate the effects of these key factors by analyzing the correlation between the performance of each factor and that of the reference. Considering the influence of these key factors and experts’ judgements, the multilevel fuzzy comprehensive evaluation method is adopted to obtain the risk level of the deep surrounding rock stability. Finally, the risk assessment of the deep surrounding rock in the E-Zhuang coal mine of Chinese Xinwen Mining Area illustrates the operability of the proposed method.

Research on Project Risk Management of Power Engineering Based on Fuzzy Comprehensive Evaluation Method

2013 ◽  
Vol 415 ◽  
pp. 287-293
Author(s):  
Li Xin Zheng
Keyword(s):  
Risk Management ◽  
Electric Power ◽  
Risk Evaluation ◽  
Large Scale ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Power Engineering ◽  
Engineering Project ◽  
Electric Power Engineering

The electric power engineering project has many characteristics like large scale, long construction period, complex technology, many units involved and so on. In order to avoid risk and improve the risk management efficiency of electric power engineering project, this article established a risk evaluation index system from the perspective of environmental risk, economic risk, technical risk, management risk, and market risk. According to the characteristics of the risk evaluation indicators, it built a multi-level fuzzy comprehensive evaluation model and took a power construction projects as an example to analyze the application of the model.

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