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My crappy ANN

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OK, so after my hard-drive went bottom-side-up I've got things going and I have my little space flight environment running.

Now I have set up an ANN to teach the space ship to pursue a target moving along a line at a constant speed. Unforunately, the results have been notable only in that they are stupendously crappy. I'm training the ANN using a genetic algorithm so I know that convergence is going to be slow, but the problem seems to be that the network always falls into some local minimum, which is invariably crappy.

What to do...

I don't want to abandon the neural network approach just yet. I want to figure out exactly what's "wrong" with it and how I can improve it; I mean, it's not like this is a problem that hasn't been solved before with ANNs!
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