more RBF refs

[sussmann@hamilton.rutgers.edu]

> Date: Wed, 11 Sep 91 07:39:09 PDT
> From: Sean Lehman <lehman at pinkpanther.llnl.gov>
>
> I think you are confusing gradient descent, a mathematical method for
> finding a local mininum, with backpropagation, a learning algorithm
> for artificial neural networks.

I don't quite understand the distinction.  Backpropagation is of
course "a learning algorithm for artificial neural networks," but it
consists of using gradient descent to look for a local minimum of a
function.  (And, yeah, to compute the gradient one uses the chain
rule.)  You seem to be saying that, because backpropagation is not
gradient descent in general, but gradient descent in a special case,
then it's not gradient descent. Or am I missing something?

---Hector Sussmann