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On Activation Functions for Complex-Valued Neural Networks ― Existence of Energy Functions ―

机译:关于复值神经网络的激活函数―能量函数的存在―

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Recently models of neural networks that can directly deal with complex numbers, complex-valued neural networks, have been proposed and several studies on their abilities of information processing have been done. One of the important factors to characterize behavior of a complex-valued neural network is its activation function which is a nonlinear complex function. This paper discusses the properties of activation functions from the standpoint of existence of an energy function for complex-valued neural networks. Two classes of complex functions which are widely used as activation functions in the models of complex-valued neural networks are considered. We investigate the properties of activation functions which assure existence of energy functions and discuss about how to find out complex functions which satisfy the properties.
机译:最近已经提出了可以直接处理复数,复值神经网络的神经网络模型,并且已经对其信息处理能力进行了一些研究。表征复数值神经网络行为的重要因素之一是其激活函数,它是一个非线性复函数。本文从复值神经网络的能量函数的存在角度讨论了激活函数的性质。考虑了在复杂值神经网络模型中广泛用作激活函数的两类复杂函数。我们研究了确保能量函数存在的激活函数的性质,并讨论了如何找出满足这些性质的复杂函数。

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