Fig. 4

Diagram showing a typical convolutional network architecture consisting of a convolutional and max-pooling layer. In CNN, convolution layer is regarded as features extraction layer and each feature map is a mapping plane in feature map is a mapping plane in feature map layer. In our research, 24 TCM-HPs were entered as input vectors, convolution and pooling operations were then made for each TCM-HPs