BP Neural Network for the Risk Management of MICE

2009 ◽  
Author(s):  
Jianping Yang ◽  
Zhenxing Cui
Keyword(s):  
Neural Network ◽  
Risk Management ◽  
Bp Neural Network

Establishment and Application of Risk Forecast Model of Construction Project Based upon BP Neural Network

2014 ◽  
Vol 945-949 ◽  
pp. 3056-3059 ◽  
Author(s):  
Xin Xin Li
Keyword(s):  
Neural Network ◽  
Risk Management ◽  
Bp Neural Network ◽  
Forecast Model ◽  
Minimal Cost ◽  
Input And Output ◽  
Sample Data ◽  
Risk Forecast ◽  
The Relationship ◽  
And Training

Risk management is a kind of activity by economic unit to obtain the maximal safety guarantee at the minimal cost through the identification and measuring of risk, in which reasonable economic and technical means are defined to cope with the risk, and it is also a process of estimating, evaluating and preventing the risk. Based upon the collection and normalization of sample data, determination and training of network structure, by identifying the relationship between input and output, BP neural network establishes risk forecast model of project, then the sample is tested and risk forecast model is validated.

scholarly journals A Big Data Mining Approach of PSO-Based BP Neural Network for Financial Risk Management With IoT

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 154035-154043 ◽  
Author(s):  
Hangjun Zhou ◽  
Guang Sun ◽  
Sha Fu ◽  
Jing Liu ◽  
Xingxing Zhou ◽  
...  
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Risk Management ◽  
Big Data ◽  
Bp Neural Network ◽  
Financial Risk ◽  
Financial Risk Management ◽  
Big Data Mining ◽  
Data Mining Approach

The Risk Evaluation Model of Construction Project Contract Based on BP Neural Network

2013 ◽  
Vol 357-360 ◽  
pp. 2304-2307
Author(s):  
Hua Liu ◽  
Jun Fang Yang ◽  
Zhi Yuan Zhang
Keyword(s):  
Neural Network ◽  
Risk Management ◽  
Bp Neural Network ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Neural Network Method ◽  
Network Method ◽  
Indicator Model ◽  
Current Risk ◽  
Risk Evaluation Model

According to the current risk management of construction contract in China, put forward the idea of using neural network method to evaluate the risk in construction contract. Designed a comprehensive multi-indicator model for evaluating the construction contract risk based on BP Neural Network. This model can be used for simulating and evaluating the risk in construction contract in future. It has been proved that the desired results can be achieved by using this model.

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