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This paper proposes a novel distributed parallel EM modeling technique to speed up the process of neural network modeling for EM structures. Existing techniques for EM modeling usually need to repeatedly change the parameters of microwave devices and drive the EM simulator to obtain sufficient training and testing samples. As the complexity in EM modeling problem increases, traditional techniques...
It is important that the training time of the Support Vector Machine (SVM) is shortened and storage space requirement is reduced for high-speed and large-scale network. An intrusion detection method based on parallel SVM is proposed and a detection model system is constructed in this paper. First, original training dataset gained from network is divided into three subsets according to the network...
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