what is the purpose of each line of this code?

This is a code for training Neural Network:

function [net]=createff(Iin,Target)

net = newff(Iin, Target, 10, {'logsig' 'logsig'}, 'trainscg');

net.trainParam.perf = 'sse';

net.trainParam.epochs = 500;

net.trainParam.goal = 1e-5;

net.trainParam.lr=0.15;

net.trainParam.mc=0.8;

net = init(net);

net = train(net, Iin, Target);

end

Please help me to understand this code.

[Greg Heath]

1. delete the net = init statement because newff is self-initializing.

2. Before using a code specifying various parameter values that overwrite default values, it is probably worth your while to try using as many defaults as possible. See the examples in

help newff

doc newff

Answer 1

[Matthew Eicholtz]

The first line creates a feed-forward backpropagation network. Type this in the command window to learn more:

help newff

• '10' is the size of the hidden layer
• 'logsig' is log sigmoid transfer function
• 'trainscg' is scaled conjugate gradient backpropagation
• 'sse' is sum of squared errors
• 'epochs' refers to how many times to run through the training and validation sets
• 'goal' is the stopping criterion
• 'lr' is the learning rate
• 'mc' is the momentum constant

The last two lines initialize and train the network.

help init
help train