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An restricted Boltzmann machine learning algorithm were proposed in the two-lead heart beat classification problem. ECG classification is a complex pattern recognition problem. The unsupervised learning algorithm of restricted Boltzmann machine is ideal in mining the massive unlabelled ECG wave beats collected in the heart healthcare monitoring applications. A restricted Boltzmann machine (RBM) is...
In this paper through analyzing the characteristics of the history data in bridge safety monitoring system, we explain the importance and features of process data compression. The theory of SDT and improved SDT have been introduced in this paper, analyzing the performances of the algorithm and simulation used by SILAB have been given in this paper. By comparing the performance of the two algorithms,...
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