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Advance Trends in Soft Computing pp 1–14Cite as

Synthesis and Research of Neuro-Fuzzy Model of Ecopyrogenesis Multi-circuit Circulatory System

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 312))

Abstract

This paper presents the development of the neuro-fuzzy mathematical model of the ecopyrogenesis (EPG) complex multiloop circulatory system (MCS). The synthesis procedure of the neuro-fuzzy model, including its adaptive-network-based fuzzy inference system for temperature calculating (ANFISTC) training particularities with input variables membership functions of different types is presented. The analysis of computer simulation results in the form of static and dynamic characteristics graphs of the MCS as a temperature control object confirms the high adequacy of the developed model to the real processes. The developed neuro-fuzzy mathematical model gives the opportunity to investigate the behavior of the temperature control object in steady and transient modes, in particular, to synthesize and adjust the temperature controller of the MCS temperature automatic control system (ACS).

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Author information

Authors and Affiliations

  1. Intelligent Information Systems Department, Ecology Department, Petro Mohyla Black Sea State University, 68-th Desantnykiv str. 10, 54003, Mykolaiv, Ukraine

    Yuriy P. Kondratenko, Leonid P. Klymenko & Galyna V. Kondratenko

  2. Computerized Control Systems Department, Admiral Makarov National University of Shipbuilding, Geroiv Stalingrada ave. 9, 54025, Mykolaiv, Ukraine

    Yuriy P. Kondratenko, Oleksiy V. Kozlov & Galyna V. Kondratenko

Authors
  1. Yuriy P. Kondratenko
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  2. Oleksiy V. Kozlov
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  3. Leonid P. Klymenko
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  4. Galyna V. Kondratenko
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Corresponding author

Correspondence to Yuriy P. Kondratenko .

Editor information

Editors and Affiliations

  1. The University of Texas, San Antonio, Texas, USA

    Mo Jamshidi

  2. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Kondratenko, Y.P., Kozlov, O.V., Klymenko, L.P., Kondratenko, G.V. (2014). Synthesis and Research of Neuro-Fuzzy Model of Ecopyrogenesis Multi-circuit Circulatory System. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_1

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  • DOI: https://doi.org/10.1007/978-3-319-03674-8_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03673-1

  • Online ISBN: 978-3-319-03674-8

  • eBook Packages: EngineeringEngineering (R0)

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