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为了提高入侵检测模型的准确率,提出一种基于K-均值算法、朴素贝叶斯分类算法和反向传播神经网络的混合入侵检测模型。首先,采用基于分区、无监督式聚类分析的K-均值算法进行数据的聚类处理,得到易于被机器处理和学习的数据集。为了进一步获取必要的数据属性,将聚类处理的结果输入到贝叶斯分类器进行分类。然后,具有较短学习周期的反向传播神经网络负责训练数据分类样本。最后,基于KDD CUP99数据集,对混合入侵检测模型进行了仿真实验,实验结果表明,通过混合入侵检测模型,DoS、U2R、R2L和Probe等入侵数据被精准地检测出。相比其它入侵检测模型,混合入侵检测模型取得了较高的准确率和召回率,以及较低的误报率,具有一定的实用价值。 相似文献
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《印度化学会志》2023,100(2):100921
The hollow fiber air gap membrane distillation (AGMD) has recently attracted tremendous attention for desalination and wastewater treatment due to its high packing density, low conductive heat loss, and latent heat recovery capability. Utilizing fast and accurate modeling tools to predict MD performance can result in the further development of desalination technologies. However, simple and time-saving prediction models to assess the AGMD performance were not abundant. Herein, AGMD performance, including permeate flux (J) and gained output ratio (GOR) was predicted through multiple linear regression (MLR) model, back propagation neural network (BP ANN) and radial basis function neural network (RBF ANN) under different hot temperatures (Th), coolant temperatures (Tc), feed flow rates (F), and feed concentration (c). A total of 30 sets of data were used to train the proposed models, the other 10 external validation datasets not used for training the models were applied to validate the prediction accuracy. The results depicted that RBF ANN (SPREAD = 30, N = 30) showed greatest prediction performance (R2 = 0.99–1) compared with BP ANN and MLR models (R2 = 0.98–0.99; R2 = 0.89–0.97). The computing time consumption of RBF ANN was higher than BP ANN. According to the Mean impact value (MIV) analysis, Th had the strongest effect on J and GOR. Increasing Th and decreasing c both had positive impacts on J and GOR, but increasing Tc or F resulted in a trade-off influence. A genetic algorithm (GA) was employed to optimize J and GOR simultaneously, the optimum J and GOR could reach 6.00 kg/m2·h and 7.70 respectively. In this study, the three prediction models proved their abilities to predict AGMD performance and further provide guidance in the actual membrane distillation water treatment process. 相似文献
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