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there exist many problems in intrusion detection system such as large number of data volume and features, data redundancy and so on, which seriously affected the efficiency of the assessment. In this paper, we propose an approach called EFSA-CP to intrusion detection based on Cloud model and improved multi-objective Particle Swarm Optimization. The algorithm evaluates the characteristics of the attribute...
The basic method of the neural networks for distinguishing chemical agents was analyzed. For fastness and accuracy, connecting the wavelet analysis with the neural networks organically, and based on the wavelet transfer and the neural networks, the system of the speedy features extraction and identification for chemical agent, the Neural Networks Distinguishing Chemical Agent (NNDCA) system, is founded...
The main point of intelligent fault diagnosis theory is fault mode distinguishing principle based on data processing methods. Pointing to the problems of the traditional fault diagnosis mode, a fault diagnosis method based on the virtual instrument and neural networks is proposed. The signals collection and management based on virtual instrument is introduced, the basic method of the neural networks...
A novel 3D model segmentation and retrieval method was introduced in this paper that is based on the topological information and partial geometry features of 3D mode. The proposed algorithm extracts feature for every triangular piece using flatness of a triangular, and partitions the 3D model into a set of triangular pieces with different flatness. Then, a watershed-based algorithm is developed and...
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