[Retracted] Prediction Model of Rotor Yarn Quality Based on CNN-LSTM

Table 5

CNN-LSTM model parameter setting table.

Parameter name	Specific parameters
Number of convolution layers	1 layer
Number of convolution kernels	13
Activate function	ReLU
Number of pooling layers	1 layer
Number of pooled cores	12
LSTM neural network layer number	One
LSTM hidden layer node number	16
Output layer parameters	Four
Loss function	Mean square error function (MSE)
Initial value of learning rate	0.01
Training data	One hundred and eighty
Test data	20
Epoch	100