Cloning for Heteroscedasticity Elimination in GMDH Learning Procedure
نویسندگان
چکیده
Selection procedure • The initial state form n inputs only, there are no neurons. • If there are k neurons already, the probability of a selection from inputs and from neurons is given by constant probability p0 that one of the network inputs will be selected. • Otherwise an already existing neuron is selected randomly with probability proportional to fitness. • After the new neuron is formed and evaluated it can immediately become a parent for another neuron.
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