Memory level neural network: A time-varying neural network for memory input processing

Affective computing is an important foundation for implementing brain-like computing and advanced machine intelligence. However, the instantaneous and memory fusion input characteristic makes current neural networks not suitable for affective computing. In this paper, we propose an affective computi...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 425; pp. 256 - 265
Main Authors:	Gong, Chao, Zhou, Xianwei, Lü, Xing, Lin, Fuhong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.02.2021
Subjects:	Affective computing Memory level neuron Memory level transition MLNN Time-related memory input Time-varying output Affective computing Memory level transition MLNN Memory level neuron Time-varying output Time-related memory input
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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