An Analysis of the Fundamental Structure of Complex-Valued Neurons

被引：0
|
作者：
Tohru Nitta
机构：
[1] Electrotechnical Laboratory,
来源：
Neural Processing Letters | 2000年 / 12卷
关键词：
complex numbers; complex-valued neurons; learning; decision boundary;
D O I：
暂无
中图分类号：
学科分类号：
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.
引用
收藏
页码：239 / 246
页数：7
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