The risk evaluation model of network information security based on improved BP neural network

2012 ◽  
Author(s):  
Bin Luo ◽  
Yi Liu
Keyword(s):  
Neural Network ◽  
Information Security ◽  
Bp Neural Network ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Network Information ◽  
Risk Evaluation Model

Power Grid Risk Evaluation Model of Empty Mine Mined-Out Area Based on BP Neural Network

2013 ◽  
Vol 756-759 ◽  
pp. 1710-1714
Author(s):  
Guo Feng Yang ◽  
Jia Kui Zhao ◽  
Ting Shun Li ◽  
Jing Zhou
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Risk Evaluation ◽  
Preventive Measures ◽  
Evaluation Model ◽  
Factors Associated ◽  
Bp Neural Network Model ◽  
Risk Evaluation Model

The risk evaluation of empty mine mined-out area is of great significance to the security and stability of the power facilities. But influence evaluation of empty mine mined-out area factor multitudinous, this paper selected seven factors associated with the system. Based on the principle of BP neural network, we build a 3 layer BP neural network model suitable for grid risk evaluation. The BP neural network model was trained by collected samples of empty mine mined-out area and the logical parameters of BP neural network were acquired and tested by the testing samples for accuracy, and finally we proposes preventive measures based on the evaluation.

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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