© Published under licence by IOP Publishing Ltd. The approach based on the stochastic algorithm of particle swarm optimization was used for mathematical treatment of spectral contours. It was shown that the method supposed allows one to separate complex model spectra and to determine parameters of spectral components. In the mathematical experiments a random fractal noise as a model of noise was applied
A nonlinear fitting model is proposed for the problem of nuclear energy spectrum decomposition. And ...
The problem of improving the resolution of composite spectra with statistically self-similar (fracta...
In this paper we present spectral algorithms for the solution of mesoscopic equations describing a b...
© Published under licence by IOP Publishing Ltd. The approach based on the stochastic algorithm of p...
An approach based on stochastic particle swarm optimization is proposed for the mathematical process...
The effectiveness of decomposing complex spectral contours into components using the least squares m...
The bee swarm algorithm is adapted for the solution of the problem of deconvolution of complex spect...
© 2016, Allerton Press, Inc.An approach based on stochastic particle swarm optimization is used for ...
An approach based on stochastic particle swarm optimization was applied for the mathematical process...
© 2017, Pleiades Publishing, Ltd.A particle swarm optimization algorithm is applied for mathematical...
© Published under licence by IOP Publishing Ltd. An application of the artificial immune system meth...
In the framework of the statistical regularization method new algorithms of solving inverse problems...
A nonlinear fitting model is proposed for the problem of nuclear energy spectrum decomposition. And ...
The problem of improving the resolution of composite spectra with statistically self-similar (fracta...
In this paper we present spectral algorithms for the solution of mesoscopic equations describing a b...
© Published under licence by IOP Publishing Ltd. The approach based on the stochastic algorithm of p...
An approach based on stochastic particle swarm optimization is proposed for the mathematical process...
The effectiveness of decomposing complex spectral contours into components using the least squares m...
The bee swarm algorithm is adapted for the solution of the problem of deconvolution of complex spect...
© 2016, Allerton Press, Inc.An approach based on stochastic particle swarm optimization is used for ...
An approach based on stochastic particle swarm optimization was applied for the mathematical process...
© 2017, Pleiades Publishing, Ltd.A particle swarm optimization algorithm is applied for mathematical...
© Published under licence by IOP Publishing Ltd. An application of the artificial immune system meth...
In the framework of the statistical regularization method new algorithms of solving inverse problems...
A nonlinear fitting model is proposed for the problem of nuclear energy spectrum decomposition. And ...
The problem of improving the resolution of composite spectra with statistically self-similar (fracta...
In this paper we present spectral algorithms for the solution of mesoscopic equations describing a b...