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Neural Network Learning.

in context of Artificial Neural Networks:

For a 'neuron' to learn something, there must be:

1. Change.
2. Measure.

Then we can analyse how this change affected 'neuron', and how closer or further away it is from it's goal, a desired behaviour.

With enough of time, with analysis, with a certain degree of control of changes, changes might become more rapid, bigger, smarter, better.

See also: Neural Networks, Stitie Space, Simple Artificial Intelligence.

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