13 March 2013 Synthesized evaluation method for network safety based on Ga-Svc
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In the study, support vector machine optimized by genetic algorithm is applied to evaluate network safety. As the parameters in the support vector machine have a great influence on its evaluation ability. Genetic algorithm is applied to select the optimal combination of the parameters of support vector machine. The evaluation accuracy of GA-SVC is 100% after the testing experiments. The experimental results indicate that SVM has high evaluation accuracy in the evaluation of network safety.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hai-Sheng Song, Hai-Sheng Song, } "Synthesized evaluation method for network safety based on Ga-Svc", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87841Q (13 March 2013); doi: 10.1117/12.2014147; https://doi.org/10.1117/12.2014147


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