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Erschienen in: Measurement Techniques 4/2015

01.07.2015 | MEDICAL AND BIOLOGICAL MEASUREMENTS

Measuring Order Parameters Based on Neural Network Technologies

verfasst von: Yu. V. Vokhmina, V. M. Eskov, T. V. Gavrilenko, O. E. Filatova

Erschienen in: Measurement Techniques | Ausgabe 4/2015

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Abstract

We show convergence of a procedure for multiple training of a neural network, when during multiple repetitions of the solution of a binary classification task based on unchanged packets of training samples the neural emulator can initially demonstrate a chaotic set of values for the feature weights, which as the number of iterations increases is reduced to a certain ranked series.

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Literatur
1.
Zurück zum Zitat V. M. Eskov, V. V. Eskov, T. V. Gavrilenko, and M. I. Zimin, “Uncertainty in quantum mechanics and biophysics of complex systems,” Vest. Mosk. Univ. Fizika. Astron., No. 5, 41–46 (2014). V. M. Eskov, V. V. Eskov, T. V. Gavrilenko, and M. I. Zimin, “Uncertainty in quantum mechanics and biophysics of complex systems,” Vest. Mosk. Univ. Fizika. Astron., No. 5, 41–46 (2014).
2.
Zurück zum Zitat V. M. Eskov, V. V. Eskov, O. E. Filatova, and M. A. Filatov, “Two types of systems and three types of paradigms in systems phyilosophy and system science,” J. Biomed. Sci. Eng., 5, No. 10, 602–607 (2012).CrossRef V. M. Eskov, V. V. Eskov, O. E. Filatova, and M. A. Filatov, “Two types of systems and three types of paradigms in systems phyilosophy and system science,” J. Biomed. Sci. Eng., 5, No. 10, 602–607 (2012).CrossRef
3.
Zurück zum Zitat M. M. Churchland, J. P. Cunningham, and M. T. Kaufman, “Neural population dynamics during reaching,” Nature, 487, 51–56 (2012).ADS M. M. Churchland, J. P. Cunningham, and M. T. Kaufman, “Neural population dynamics during reaching,” Nature, 487, 51–56 (2012).ADS
4.
Zurück zum Zitat V. M. Eskov, S. V. Kulaev, Yu. M. Popov, and O. E. Filatova, “Computer technologies in stability measurements on stationary states in dynamic biological systems,” Izmer. Tekhn., No. 1, 59–65 (2006); Measur. Techn., 49, No. 1, 59–65 (2006). V. M. Eskov, S. V. Kulaev, Yu. M. Popov, and O. E. Filatova, “Computer technologies in stability measurements on stationary states in dynamic biological systems,” Izmer. Tekhn., No. 1, 59–65 (2006); Measur. Techn., 49, No. 1, 59–65 (2006).
5.
Zurück zum Zitat V. M. Eskov, V. V. Eskov, and O. E. Filatova, “Characteristic features of measurements and modeling for biosystems in phase spaces of states,” Izmer. Tekhn., No. 12, 53–57 (2010); Measur. Techn., 53, No. 12, 1404–1410 (2010). V. M. Eskov, V. V. Eskov, and O. E. Filatova, “Characteristic features of measurements and modeling for biosystems in phase spaces of states,” Izmer. Tekhn., No. 12, 53–57 (2010); Measur. Techn., 53, No. 12, 1404–1410 (2010).
6.
Zurück zum Zitat V. M. Eskov, T. V. Gavrilenko, V. V. Kozlova, and M. A. Filatov, “Measurement of the dynamic parameters of microchaos in the behavior of real biosystems,” Metrologiya, No. 7, 39–48 (2012); Measur. Techn., 55, No. 9, 1096–1100 (2012). V. M. Eskov, T. V. Gavrilenko, V. V. Kozlova, and M. A. Filatov, “Measurement of the dynamic parameters of microchaos in the behavior of real biosystems,” Metrologiya, No. 7, 39–48 (2012); Measur. Techn., 55, No. 9, 1096–1100 (2012).
7.
Zurück zum Zitat H. Haken, Principles of Brain Functioning: A Synergetic Approach to Brain Activity, Behavior and Cognition, Springer, Berlin (1996).CrossRefMATH H. Haken, Principles of Brain Functioning: A Synergetic Approach to Brain Activity, Behavior and Cognition, Springer, Berlin (1996).CrossRefMATH
8.
Zurück zum Zitat I. Prigogine, “The die is not cast,” Futures. Bull. World Futur. Stud. Feder., 25, No. 4, 17–19 (2000). I. Prigogine, “The die is not cast,” Futures. Bull. World Futur. Stud. Feder., 25, No. 4, 17–19 (2000).
Metadaten
Titel
Measuring Order Parameters Based on Neural Network Technologies
verfasst von
Yu. V. Vokhmina
V. M. Eskov
T. V. Gavrilenko
O. E. Filatova
Publikationsdatum
01.07.2015
Verlag
Springer US
Erschienen in
Measurement Techniques / Ausgabe 4/2015
Print ISSN: 0543-1972
Elektronische ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-015-0735-x

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