Are the long-short term memory and convolution neural networks really based on biological systems?

被引：8
|
作者：
Balderas Silva, David [1 ]
Ponce Cruz, Pedro [1 ]
Molina Gutierrez, Arturo [1 ]
机构：
[1] Tecnol Monterrey Natl Dept Res, Puente 222, Mexico City 14380, DF, Mexico
来源：
ICT EXPRESS | 2018年 / 4卷 / 02期
关键词：
Classification methods; Sequence prediction; Image classification; Vision; Memory;
D O I：
10.1016/j.icte.2018.04.001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In general, it is not a simple task to predict sequences or classify images, and it is even more problematic when both are combined. Nevertheless, biological systems can easily predict sequences and are good at image recognition. For these reasons Long Short Term Memory and Convolutional Neural Networks were created and were based on the memory and visual systems. These algorithms have shown great properties and shown certain resemblance, yet they are still not the same as their biological counterpart. This article reviews the biological bases and compares them. (C) 2018 The Korean Institute of Communications and Information Sciences (KICS). Publishing Services by Elsevier B.V.
引用
收藏
页码：100 / 106
页数：7
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