Adaptive behavior with fixed weights in RNN: An overview

被引：32

作者：

Prokhorov, DV ^{[1
]}

Feldkamp, LA ^{[1
]}

Tyukin, IY ^{[1
]}

机构：

[1] Ford Res Lab, Dearborn, MI 48121 USA

来源：

PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年

关键词：

D O I：

10.1109/IJCNN.2002.1007449

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we review recent results on adaptive behavior attained with fixed-weight recurrent neural networks (meta-learning). We argue that such behavior is a natural consequence of prior training.

引用

页码：2018 / 2022

页数：3

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