Prediction model of rotor yarn quality based on cnn-lstm

HIGHLIGHTS

• who: Zhenlong Hu from the Jiyang College, Zhejiang AandF University, Zhuji, Zhejiang, China have published the research work: Prediction Model of Rotor Yarn Quality Based on CNN-LSTM, in the Journal: Journal of Sensors of 18/06/2022
• what: The more accurately the prediction model expresses the essential relationships, then the higher the prediction accuracy of the model, which is the common goal pursued by researchers. The main reason is that the deep neural_network has automatic adjustment and adaptability to the input value sequence.
• how: In such a context this paper proposes to . . .
  

   

  

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