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Most blind source separation (BSS) algorithms deal with cases in which the number of sources is assumed known. This paper proposes a robust on-line blind separation algorithm with unknown and dynamic number of sources. Based on existing over-determined (more sensors than sources) architecture, after estimating the source number using SVD, we add the momentum term to improve the classical Cichocki-Unbenauen...
Due to the fact that the detection of intrusion is inefficient and lacks intelligence in current intrusion detection system, this paper integrates BP neural network and support vector machine (SVM) based on the theory of neural network integration, applying fuzzy clustering technology to cluster data, choosing data from the cluster centre to train ensemble individuals, then selecting and integrating...
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