Abstract:The most popular neural network strategy is back propagation. This strategy initiated general interest in neural networks among researchers. Whileback propagation can solve nonlinear problems, it is considered to be a poor example of neuron functioning. Recently, Gardner (1993) has made a strong case for a back propagating phenomenon in networks of livingneurons. In this paper, we present a few simple computational examples that investigate another component of the typical back propagation network. The effect… Show more
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