Interpretation of analytical patterns from the output of chaotic dynamical memories

被引：8

作者：

Claussnitzer, U ^{[1
]}

Quarder, S ^{[1
]}

Otto, M ^{[1
]}

机构：

[1] Freiberg Univ Min & Technol, Inst Analyt Chem, D-09599 Freiberg, Germany

来源：

FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY | 2001年 / 369卷 / 7-8期

关键词：

Fourier; Analytical Chemistry; Dynamic System; Fourier Transform; Pattern Recognition;

D O I：

10.1007/s002160000692

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A fundamental study has been carried out to use a nonlinear dynamic system, Freeman's Km model, for pattern recognition in analytical chemistry. Filtering of the output of the neuron activity traces in the gamma range has been studied by applying a fast Fourier transform filter. Different possibilities for interpretation of the system output have been investigated. Preliminary results are demonstrated for classification of drugs based on their spectra in the mid infrared range.

引用

页码：698 / 703

页数：6

共 7 条

[1] Local homeostasis stabilizes a model of the olfactory system globally in respect to perturbations by input during pattern classification [J].

Chang, HJ ;

Freeman, WJ ;

Burke, BC .

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 1998, 8 (11) :2107-2123

[2]

Dormand J., 1980, J. Comput. Appl. Math., V6, P19, DOI DOI 10.1016/0771-050X(80)90013-3

[3]

Freeman WJ, 1995, SOC BRAINS

[4]

FREEMAN WJ, 1993, COMMUNICATION

[5]

OTTO M, 2000, P WORLD MULT SYST CY, V10, P413

[6]

Otto M, 1999, CHEMOMETRICS

[7]

WHITTLE P, 1998, NEURAL NETS CHAOTIC

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