Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects
Cybernetics and Systems Analysis
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Robust training of radial-basis networks under non-normally distributed noise is considered. The simulation results show that multistep projection training algorithms minimizing various forms of module criteria are rather efficient in this case.