An Analysis of the Fundamental Structure of Complex-Valued Neurons

作者:Tohru Nitta

摘要

This paper presents some results of an analysis on the decision boundaries of complex-valued neurons. The main results may be summarized as follows. (a) Weight parameters of a complex-valued neuron have a restriction which is concerned with two-dimensional motion. (b) The decision boundary of a complex-valued neuron consists of two hypersurfaces which intersect orthogonally, and divides a decision region into four equal sections.

论文关键词:complex numbers, complex-valued neurons, learning, decision boundary

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论文官网地址:https://doi.org/10.1023/A:1026582217675