How can I use a normal node and an activation function together in a hidden layer?

How can I use a normal node and an activation function node together in a hidden layer?

In this paper, the author defined the hidden layer as a vector of normal nodes and activation function node.

References are attached with pictures.

now, I'm using this command

hiddenlayer_number=1;

net = feedforwardnet(hiddenlayer_number)

net.layers{1}.transferFcn = 'tansig';

Answer 1

[Shreeya]

Hello,

According to my understanding, you want to create a neural network and define the activation function on the hidden layers.

If my understanding of your problem statement is correct, you can define the activation function on each hidden layer with the below command, as highlighted by you as well:

net.layers{i}.transferFcn =  ‘tansig’;

In case of multiple layers, the activation function can be defined for each layer using the above command.

Hope this helps!