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In this paper, we propose a training sample selection algorithm for artificial neural networks device modeling to reduce training consuming time and data test cost. The proposed algorithm can be used to get the appropriate size of the training samples under the required training accuracy. Comparison between neural networks model and test data agrees well in a given training accuracy and proves correctness...
An automated balancing machine which can perform unbalance measurement and correction automated. It consists of measurement and control unit, mechanical base and execution unit. The function of each unit is demonstrated in detail. The equation of unbalance measurement and correction is deduced. The magnitude of rotor's unbalance and the mass need to be removed is calculated according to the equation...
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