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- W2001461639 abstract "A goal of the paper is a presentation of possibilities of artificial neural networks (ANN) technologies for combustion modeling, experimental investigation and diagnostics. A short introduction to ANN technologies and their using for solution of scientific problems is included. For the first time it is suggested to use a sigmoid function at obtaining of analytical solutions of combustion wave propagation differential equations. Perspectives of the method for development of new computational models of combustion as well as possibilities of ANN using for it are discussed. A goal of the models is a solving of hard tasks of experimental investigation of propellants combustion. An example of ANN using for an investigation of deflagration-to-detonation transition (model of pulse detonation engine) under various experimental conditions is presented. It is shown that ANN can make up for gaps in experimental data. New ways for solving inverse problems of optics and its direct tasks by means of ANN are presented also. It is shown that ANN can be used for many optical and non-optical methods of combustion diagnostics as well as for a testing and controlling of combustion processes when usual approaches cannot be used. Possibilities for using of the only value of a function of signal distribution in a plane of the registration in order to determine full distribution of local characteristics in an object, as well as its integral characteristics are shown." @default.
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- W2001461639 date "2007-01-01" @default.
- W2001461639 modified "2023-09-27" @default.
- W2001461639 title "APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR SOLUTION OF SCIENTIFIC AND APPLIED PROBLEMS FOR COMBUSTION OF ENERGETIC MATERIALS" @default.
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- W2001461639 doi "https://doi.org/10.1615/intjenergeticmaterialschemprop.v6.i6.10" @default.
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