Pattern storage and recognition using ferrofluids

被引：8

作者：

Ban, Shuai ^{[1
]}

Korenivski, V. ^{[1
]}

机构：

[1] Royal Inst Technol, S-10691 Stockholm, Sweden

来源：

JOURNAL OF APPLIED PHYSICS | 2006年 / 99卷 / 08期

关键词：

D O I：

10.1063/1.2176895

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

An implementation of an associative memory based on a ferromagnetic nanocolloid is proposed. The design contains inductive input and output units for training the ferrofluid as well as sensors incorporated into the output units for performing recall. Using Monte Carlo simulations of the system we demonstrate the possibility of creating nanoparticle configurations that can serve to associate input/output pattern pairs. (C) 2006 American Institute of Physics.

引用

页数：3

共 14 条

[1]

AHARON A, 2000, INTRO THEORY FERROMA

[2]

BAN S, UNPUB, P12503

[3]

Bishop C. M., 1996, Neural networks for pattern recognition

[4] GIANT MAGNETORESISTANCE IN SOFT FERROMAGNETIC MULTILAYERS [J].

DIENY, B ;

SPERIOSU, VS ;

PARKIN, SSP ;

GURNEY, BA ;

WILHOIT, DR ;

MAURI, D .

PHYSICAL REVIEW B, 1991, 43 (01) :1297-1300

[5]

Goodwin J. M., 1992, International Journal of Pattern Recognition and Artificial Intelligence, V6, P157, DOI 10.1142/S0218001492000096

[6] STATISTICAL THERMODYNAMICS OF FERROFLUIDS [J].

KALIKMANOV, VI .

PHYSICA A, 1992, 183 (1-2) :25-50

[7]

Korenivski V, 1997, J APPL PHYS, V82, P5247, DOI 10.1063/1.366391

[8]

Muller B, 2002, NEURAL NETWORKS INTR

[9]

QI Z, 1996, IEEE T MAGN, V32, P297

[10]

ROSEN BE, 1993, IEEE INT C NEUR NETW, P908

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