tions.

<p><CODE>options(14)</CODE> is the maximum number of iterations (passes through
the complete pattern set); default 100.

<p><CODE>options(17)</CODE> is the momentum; default 0.5.

<p><CODE>options(18)</CODE> is the learning rate; default 0.01.

<p><h2>
Examples
</h2>
The following example performs on-line gradient descent on an MLP with
random sampling from the pattern set.
<PRE>

net = mlp(5, 3, 1, 'linear');
options = foptions;
options(18) = 0.01;
options(5) = 1;
net = olgd(net, options, x, t);
</