Research on public opinion warning based on analytic hierarchy process integrated back propagation neural network

2017 ◽  
Author(s):  
Shunzi Li ◽  
Yuan Xu ◽  
Yanlin He ◽  
Zhiqiang Geng ◽  
Zhiying Jiang ◽  
...  
Keyword(s):  
Neural Network ◽  
Public Opinion ◽  
Analytic Hierarchy Process ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Integrated AHP-BPNN Model for Wind Farm Investment Evaluation

2014 ◽  
Vol 541-542 ◽  
pp. 966-971
Author(s):  
Xiang Feng Zhang ◽  
Tian Yu Liu ◽  
Bin Jiao
Keyword(s):  
Wind Farm ◽  
Evaluation Method ◽  
Back Propagation ◽  
Wind Farms ◽  
Back Propagation Neural Network ◽  
Analytic Hierarchy ◽  
Farm Investment ◽  
Hierarchy Process ◽  
Power Project ◽  
Bpnn Model

The construction of wind farms grows quickly in China. It is necessary for stakeholders to estimate investment costs and to make good decisions about a wind power project by making a budget for the investment. This paper proposed an evaluation method by integrating the analytic hierarchy process (AHP) with back-propagation neural network (BPNN) to evaluate wind farm investment. In the AHP-BPNN model, the AHP method is used to determine the factors of wind farm investment. The factors with high importance are reserved while those with low importance are eliminated, which can decrease the number of inputs of the BPNN. The experiment results show that the integrated model is feasible and effective.

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