A survivability evaluation model method based on a BP neural network wide area information management system
A BP neural network and wide-area information management technology, applied in the field of aviation network information system security, can solve the problems of lack of SWIM basic theory, analysis, and reduce the effectiveness of service drift, so as to avoid the influence of subjective components and human factors and improve efficiency and reliability, the effect of meeting the evaluation requirements
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[0022] The preferred implementation of the method for evaluating the survivability of the wide-area information management system based on BP neural network in the present invention will be described in detail below in conjunction with the accompanying drawings.
[0023] Figure 1 to Figure 3 Specific implementation methods of the present invention are shown: SWIM survivability PDRRDR model, BP neural network-based SWIM survivability evaluation model and SWIM survivability evaluation index system.
[0024] The present invention comprises the following steps:
[0025] 1. Evaluation model error and weight, threshold adjustment
[0026] When the output result of the evaluation model does not meet the requirements of the expected value, that is, there is an error, the model performs backpropagation of the error, and the error expression is as follows.
[0027] The error function for each sample l is E l :
[0028]
[0029] The total error function of the model for L trainin...
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