Article for analog vector algebra computation

被引：26

作者：

Mills, AP ^{[1
]}

Yurke, B ^{[1
]}

Platzman, PM ^{[1
]}

机构：

[1] Bell Labs, Lucent Technol, Murray Hill, NJ 07974 USA

来源：

BIOSYSTEMS | 1999年 / 52卷 / 1-3期

关键词：

DNA computing; neural networks; Hopfield network;

D O I：

10.1016/S0303-2647(99)00044-1

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We introduce the concept of an analog neural network represented by chemical operations performed on strands of DNA. This new type of DNA computing has the advantage that it should be fault tolerant and thus more immune to DNA hybridization errors than a Boolean DNA computer. We describe a particular set of DNA operations to effect the interconversion of electrical and DNA data and to represent the Hopfield associative memory and the feed-forward neural network of Rumelhart et al. We speculate that networks containing as many as 10(9) neurons might be feasible. (C) 1999 Elsevier Science Ireland Ltd. All rights reserved.

引用

页码：175 / 180

页数：6

共 24 条

[1] MOLECULAR COMPUTATION OF SOLUTIONS TO COMBINATORIAL PROBLEMS [J].