The features of GA have been widely used applied in territories such as optimization, machinelearning, treatment of signal, self-adoption control, artificial existence and so on.
遗传算法的这些性质,已被人门广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。
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This model builds state machine through self-learning from network services and then matches pattern using state machine which has extracted features. Then this model can build response.
And based on the experimental results of multi-dimensional data clustering, anomaly detection matrix is determined through identifying the training sample set and the machineself-learning.