Table 3 Parameter settings.

From: Deep convolutional neural network based archimedes optimization algorithm for heart disease prediction based on secured IoT enabled health care monitoring system

Parameters

Ranges

Population size

50

Maximum number of iterations

100

Number of input layers

10

Number of hidden nodes

20

Number of output layers

2

Learning rate

0.1

Number of epochs

32

Dropout

0.243

Batch size

8