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Based on the analysis of condensate and feed water system, a fault knowledge repository is established considering operation experience. The D-S inference of Information Fusion theory has the ability of dealing with uncertain information and Artificial Neural Network (ANN) has the advantage of high tolerance and robust. In this paper, a model for fault diagnosis utilizing D-S theory of evidence together...
We propose a novel algorithm based on clustering to extract rules from artificial neural networks. After networks Beijing trained and pruned successfully, inner-rules are generated by discrete activation values of hidden units. Then, weights between input and hidden units are clustered to decrease the complexity of rules extraction. In clustering phase, the clustered number of weights can be adjusted...
In this paper, A Recursive Least Squares (RLS) channel estimator with improved decision-directed algorithm (referred as DDA2-RLS) is proposed based on the superimposed training sequence in orthogonal frequency division multiplexing (OFDM) systems. The DDA2-RLS is exploited to further eliminate the interference driven by the superimposed unknown information data. Then, the theoretical analysis for...
We present a novel object localization approach based on the global structure constraint model (GSC) and optimal algorithm. In GSC, Objects are described as constellations of points satisfied with their specific global structure constraints. The spatial relations among all the patches having stable color information and their representative color information around patches are encoded. Then, the searching...
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