Multi-Valued Neurons: Hebbian and Error-Correction Learning

摘要

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