in general, how do we indicate the odd one out of that set? Sure it's "obvious" that the color is important in this case - but I see two circles and that the square is more similar to the circle(s) because of the higher number of sides. Therefor the triangle is the "odd one."
What rules does an evolving neural net use for determining the pattern in order to determine the exception to the pattern? On 12/26/06, Nathan Cook <[EMAIL PROTECTED]> wrote:
The training set should have problems of (at least) two forms to test my hypotheses: (1) after 'hearing' a sequence of pulses, reproduce them, and (2) after being presented with several images (e.g. red circle, red square, red triangle, green circle), indicate the odd one out. Being able to do either of them should show I'm on to something. Is that any help? I was reluctant to give too much away because it's a rather far fetched concept, but as you can see, the neurons have to be capable of doing a lot. I think I can justify taking this one of many options in neural networks, if only because no-one seems to have let the neurons themselves compete before.
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