Computer Simulation Technology of Electric Power Safety Based on Fuzzy Neural Network

2014 ◽  
Vol 539 ◽  
pp. 679-683
Author(s):  
Yu Ying Zheng
Keyword(s):  
Neural Network ◽  
Computer Simulation ◽  
Electric Power ◽  
Fuzzy Neural Network ◽  
Financial Risks ◽  
Analysis Model ◽  
Power Enterprise ◽  
Fuzzy Neural ◽  
Hidden Layer ◽  
Electric Power Enterprise

As the basis industry of the national economy electric power enterprise is shouldering significant social responsibility in the process of operation, also needs to face the operational risk generated by enterprise competition under the conditions of market economy. How to scientifically and efficiently manage the financial risks of power enterprises is one of the hot issues that are urgent needed to resolve in the current field. In this paper, on the basis of previous studies, firstly has combined with the structure characteristics of the fuzzy neural network model. Then it builds prediction analysis model of financial risks according to the fuzzy neural network structure. And it sets the selection of the number of neuron for the hidden layer based on the financial risks' characteristics of electric power enterprise. At last, it combines with 12 financial indicators data of electric power enterprise finance to make further computer simulation, so as to verify the scientificity of the model. And the results show that the model has strong reliability and a strong practical value.

Fuzzy Comprehensive Evaluation Method for Financial Risks of Electric Power Enterprises Analysis

2011 ◽  
Vol 403-408 ◽  
pp. 2632-2635
Author(s):  
Jin Yu Tian ◽  
Ling Ling Wu
Keyword(s):  
Electric Power ◽  
Financial Risk ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Financial Risks ◽  
Power Enterprise ◽  
Electric Power Enterprise

In order to solve the financial risks of electric power enterprises analysis problem, a fuzzy comprehensive evaluation model is used in this paper. By constructing evaluation index system and calculating index weights, the model can reasonably evaluate the financial risks of electric power enterprises. For illustration, an electric power enterprise example is utilized to show the feasibility of the model in solving the problem Results show that financial risk of the electric power enterprise is general. The paper provides a new way for financial risks of electric power enterprises analysis, and makes its research further perfected. Thus, electric power enterprises can control and prevent financial risks better.

Evaluating the Environmental Cost Internalization Based on the Fuzzy Neural Network

2014 ◽  
Vol 1073-1076 ◽  
pp. 495-499
Author(s):  
Xiang Song Meng ◽  
Yi Yao Zhu
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Environmental Cost ◽  
Fuzzy Evaluation ◽  
Analysis Model ◽  
Cost Index ◽  
Fuzzy Neural ◽  
Environment Cost

Internalization of environment cost assessment measures the level of an enterprise’s environmental cost internalization. It’s also the basis of carrying out recycling economic in an enterprise. First of all, we established an environmental cost analysis model, in line with which we build the internalization of environment cost index system. Then adopting comprehensive evaluation method basing on fuzzy neural network can help us assess the effect brought by the internalization of environment cost. Finally, we conducted an experiment which comparing fuzzy neural network with the fuzzy evaluation of environment cost objectively. So we can think it’s an effective method.

scholarly journals New Media Advertising Communication Analysis Model Based on Extension Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhe Zhang
Keyword(s):  
Neural Network ◽  
New Media ◽  
Fuzzy Neural Network ◽  
Intelligent System ◽  
Structure Design ◽  
Analysis Model ◽  
Communication Analysis ◽  
Model Based ◽  
Fuzzy Neural ◽  
Advertising Communication

In order to improve the effect of new media advertising communication analysis, this paper combines the scalable neural network to construct the new media advertising communication analysis model. Moreover, this paper analyzes in detail the basic theories of fuzzy neural network and extension evaluation, the structure design and learning algorithm, and classification of fuzzy neural network. In particular, this paper summarizes the optimization algorithms and methods of neural network structure. In addition, this paper improves the algorithm to meet the needs of new media advertising data analysis and builds an intelligent system framework. The experimental verification shows that the new media advertising communication analysis model based on the extension neural network proposed in this paper meets the new media advertising communication analysis effect.

Tracking Control of Underactuated Unmanned Surface Vessels Based on the Dynamic Fuzzy Neural Network

2012 ◽  
Vol 562-564 ◽  
pp. 2188-2196
Author(s):  
Yun Yan Hu ◽  
Guo Cheng Zhang ◽  
Lei Wan
Keyword(s):  
Neural Network ◽  
Tracking Control ◽  
Control Algorithm ◽  
Fuzzy Neural Network ◽  
Network Control ◽  
Simulation Experiments ◽  
Surface Vessels ◽  
Fuzzy Neural ◽  
On Line ◽  
Hidden Layer

This paper proposes a dynamic fuzzy neural network (DFNN) for the tracking control of the underactuated unmanned surface vessels. The dynamic fuzzy neural network control algorithm has the advantages of both fuzzy logical and neural network. The algorithm adjusts the structure and parameters on line at the same time to make the tracking effect of the system being fast and accurate, while it doesn’t need confirm the fuzzy rules and the nodes of hidden layer. The simulation experiments based on the proposed control algorithm are carried out and the simulation results validate its effectiveness.

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