Jun-fei Qiao

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Due to the multi-variable, nonlinear, large time delay and strong coupling features of the wastewater treatment process, a recurrent high-order neural network is used to model the key water quality parameters(Chemical Oxygen Demand, Biological Oxygen Demand, Suspended Solid and Ammonia Nitrogen) for the wastewater treatment process, and the neural network(More)
There are complex mapping relationships among different mill load parameters and multi-scale frequency spectra of ball mill's mechanical vibration and acoustic signals. Aim at to construct an effective and meaningful soft sensor model, how to select interesting input variables of each local-scale frequency spectrum and how to fuse these different(More)
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