Documentation

This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

cascadeforwardnet

Cascade-forward neural network

Syntax

cascadeforwardnet(hiddenSizes,trainFcn)

Description

Cascade-forward networks are similar to feed-forward networks, but include a connection from the input and every previous layer to following layers.

As with feed-forward networks, a two-or more layer cascade-network can learn any finite input-output relationship arbitrarily well given enough hidden neurons.

cascadeforwardnet(hiddenSizes,trainFcn) takes these arguments,

hiddenSizes

Row vector of one or more hidden layer sizes (default = 10)

trainFcn

Training function (default = 'trainlm')

and returns a new cascade-forward neural network.

Examples

Create and Train a Cascade Network

Here a cascade network is created and trained on a simple fitting problem.

[x,t] = simplefit_dataset;
net = cascadeforwardnet(10);
net = train(net,x,t);
view(net)
y = net(x);
perf = perform(net,y,t)
perf =

   1.9372e-05

Introduced in R2010b

Was this topic helpful?