Predicting the Number of COVID-19 Sufferers in Malang City Using the Backpropagation Neural Network with the Fletcher–Reeves Method

Table 5

Evaluation of the performance of the prediction method for the number of COVID-19 sufferers by using testing data for several architectures for a learning rate equal to 0.005.

Architecture	MSE
	Gradient descent method	Fletcher–Reeves method
16-5-1	32391.95	6.67
16-20-1	11092.24	11.49
16-50-1	2901.01	27.18
16-100-1	1259.15	881.52
16-150-1	915.89	595.43