ares
error function with isotropic Gaussian regularizer, using the scaled
conjugate gradient optimizer. The hyperparameters <CODE>alpha</CODE> and
<CODE>beta</CODE> are re-estimated using the function <CODE>evidence</CODE>. A graph 
is plotted of the original function, the training data, the trained
network function, and the error bars.

<p><h2>
See Also
</h2>
<CODE><a href="demev1.htm">demev1</a></CODE>, <CODE><a href="evidence.htm">evidence</a></CODE>, <CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href