Multi-Valued Neuron with a periodic activation function — New learning strategy

V. M. Lupea
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引用次数: 4

Abstract

Multi-Value Neurons (MVN) arouse from the necessity to solve those highly non-linear, multi-threshold problems. Various activation functions and learning algorithms were developed in the last years, which in time gave birth to a new type of MVN, called MVN with a periodic activation function (MVN-P). This neuron presented higher functionality than a MVN. The next natural step was trying to integrate this MVN-P into a Neural Network (NN) to increase further more its functionality.
具有周期激活函数的多值神经元——一种新的学习策略
多值神经元(MVN)是解决高度非线性、多阈值问题的需要而产生的。近年来,各种激活函数和学习算法的发展,催生了一种新型的MVN,即带周期激活函数的MVN- p。这个神经元比MVN表现出更高的功能。下一个自然的步骤是尝试将这个MVN-P集成到神经网络(NN)中,以进一步增加其功能。
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