A back-propagation algorithm for complex numbered neural networks
Tohru Nitta · 2005
This paper introduces a complex numbered version of the backpropagation algorithm, which can be applied to neural networks whose weights, threshold values, input and output signals are all complex numbers. This new algorithm can be used to learn complex numbered patterns in a natural way. We show that "complex-BP" can transform geometrical figures.