weight space

[william horne]

Nolfi & Cecconi write:

>A good way to understand neural network functioning is to see the learning
>process as a trajectory in the weight space....
>However, we know very little about weight spaces.
>... it would be useful to try to answer questions like: are there some kind
>of regularities in the error surface ? If this is the case, are these
>regularities task dependent or there are also general type regularities ?
>How learning algorithms differ from the point of view of the trajectory in
>the weight space ?

We have submitted an article to IEEE Trans. on Neural Networks which
addresses exactly this problem.  The Title is:

"Error Surfaces for Multi-layer Perceptrons", Hush, D., Salas, J. and
Horne, B.

I will send a copy out to anyone who desires it....

- -bill horne

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