Multi-valued neurons: Hebbian and error-correction learning

Abstract

In this paper, we observe some important aspects of Hebbian and errorcorrection learning rules for the multi-valued neuron with complex-valued weights. It is shown that Hebbian weights are the best starting weights for the errorcorrection learning. Both learning rules are also generalized for a complex-valued neuron whose inputs and output are arbitrary complex numbers. © 2011 Springer-Verlag.