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In text categorization, feature selection is an effective feature dimension-reduction methods. To solve the problems of unadaptable high original feature space dimension, too much irrelevance, data redundancy and difficulties in selecting a threshold, we propose an improved LAM feature selection algorithm (ILAMFS). Firstly, combining the gold segmentation and the LAM algorithm based on the characteristics...
Weigh-in-Motion (WIM) devices are specifically designed to capture and record gross axle load of moving vehicles. Compared with the traditional sensor, cement-based piezoelectric sensor has good compatibility with the concrete. Therefore it's suitable to detect the concrete deformation, damage and distribution of internal stress using cement-based piezoelectric sensor. A novel vehicle WIM system based...
In this paper, a combined method is proposed for providing a new sufficient condition for linear T-S fuzzy systems as an universal approximator in MISO case. Such work extends existing methods in SISO case and is superior to the existing results in MISO case by combining the statically and dynamically constructive methods. After comparing with some other typical methods, detailed theoretical reasoning...
In order to solve the problem of accurately detecting the weak acoustic signal for remote underwater target, a novel hybrid intelligent target-detection method for underwater acoustic signals based on empirical mode decomposition (EMD), feature distance evaluation technique (FDET) and fuzzy support vector data description (FSVDD) is proposed. The method consists of three stages. Firstly, some signal...
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