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Application of Artificial Neural Networks for Solution of Scientific and Applied Problems
Last modified: 2020-12-26
Abstract
Examples of ANN using for solution of scientific and applied problems in field of combusion in particular for combustion diagnostic and experimental investigation as well as for industry control are presented in the paper.
1. Possibilities for a creation of new kinds of models for combustion wave (CW) propagation by means of ANN are presented. A goal of such kinds of models is solving of hard tasks of experimental investigation of propellants burning.
2. New ways for solving direct and inverse problems of optics by means of ANN are presented. These problems have to be solved for many optical and non-optical methods of combustion diagnostics for example for Interferometric and shadow techniques, absorption spectroscopy, X-ray, etc.
3. Possibilities for a creation of ANN model for automatic control system of boiler unit during transient processes are presented. A database for training of ANN was obtained by means of system of finite-difference equations based on full dynamic non-linear mathematical model of boiler unit.
1. Possibilities for a creation of new kinds of models for combustion wave (CW) propagation by means of ANN are presented. A goal of such kinds of models is solving of hard tasks of experimental investigation of propellants burning.
2. New ways for solving direct and inverse problems of optics by means of ANN are presented. These problems have to be solved for many optical and non-optical methods of combustion diagnostics for example for Interferometric and shadow techniques, absorption spectroscopy, X-ray, etc.
3. Possibilities for a creation of ANN model for automatic control system of boiler unit during transient processes are presented. A database for training of ANN was obtained by means of system of finite-difference equations based on full dynamic non-linear mathematical model of boiler unit.
Keywords
neural networks; redundant systems; intelligent methods; computer systems
References
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ordinary differential equations". Fizmatlit. Moscow,Russia, 2001.
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"Deflagration-to-Detonation Transition Studies for Multicycle PDE Application". In: Roy G.D. at al. (ed) Advances in Confined Detonation. Torus Press Ltd.,Moscow, Russia, 2002, pp. 243-249.
5. Abrukov V.S., Andreev I.V., Deltsov P.V. “Optical
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and Related Industrial Applications“. in Ablameyko S., Goras L, Gori M, and Piuri V. (ed) Proc. of the NATO Advanced Study Institute on Neural Networks for Instrumentation, Measurement, and Related Industrial Applications, Vol. 185. Series 3: Computer and Systems Sciences, IOS Press, Crema, Italy, 2003.
2. Zeldovich Ja.B., Barenblart G.I., Librovich V.B., Makhviladze G.M. “The mathematical theory of combustion and explosion“. Nauka, Moscow, Russia.1980.
3. Zaytsev V.F., Poljanin A.D. “The reference book on
ordinary differential equations". Fizmatlit. Moscow,Russia, 2001.
4. Santoro R. J., Lee S.-Y., Conrad C. at al.
"Deflagration-to-Detonation Transition Studies for Multicycle PDE Application". In: Roy G.D. at al. (ed) Advances in Confined Detonation. Torus Press Ltd.,Moscow, Russia, 2002, pp. 243-249.
5. Abrukov V.S., Andreev I.V., Deltsov P.V. “Optical
Methods for Data Processing in Heat and Fluid Flow“, Chapter 21. Professional Engineering Publishing, London, UK, 2002, pp. 247-265.
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