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Oct 11, 2008, 12:38 PM
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Neural network crisis

The genetic algorithm has been a disaster. So far, been using 1 member of the population as the seed for the next population. Very cache efficient & fast, but can lead to entire worthless populations. Also been feeding random inputs to it for the training set. This hasn't worked at all.

The algorithms that work use constant sets of training data & large populations as the seed for the next populations. No cache usage. Faster training since the random number generator is slow. Would have to test each population member on the entire training set.
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