作者: Guo Zhimao , Jin Xing , Xue Wei , Li Yi , Zou Yongqiang
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摘要: The invention discloses a deep-layer model processing method and device. comprises the following steps of: obtaining superficial-layer which is constructed trained for target event; constructing an input layer of by utilizing characteristics weighted value model; further determining number hidden layers nodes in each layer; initializing values model, so that results output are same with or similar to model. According method, initialized, those priori knowledge leaned, based on training data, used reference, quality initialized preliminary