人工神经网络的噪声抑制

International Conference on Advanced Wireless Information, Data, and Communication Technologies Pub Date : 2017-11-13 DOI:10.1145/3231830.3231847

G. R. Murthy, Aman Singh, Ganesh Yaparla

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引用次数: 0

摘要

本文对联想记忆(如Hopfield神经网络)的噪声抑制能力进行了简要综述。基于这一事实，讨论了训练后的卷积网络的噪声抑制能力。引入零向量的概念，讨论了单层感知机、多层感知机和极限学习机的噪声抑制能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Noise Suppression by Artificial Neural Networks

In this research paper, noise suppression ability of associative memories (e.g. Hopfield neural network) is briefly summarized. Motivated by this fact, noise suppression abilities of trained convolutional network are discussed. Introducing the concept of null vectors, noise suppression ability of Single Layer Perceptron, Multi-Layer Perceptron and Extreme Learning Machine are discussed.

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International Conference on Advanced Wireless Information, Data, and Communication Technologies

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