Add to ORKGAn approach based on stochastic particle swarm optimization is proposed for the mathematical processing of spectral profiles. It is shown that the proposed approach allows accurate decomposition of complex model spectra and determination of the parameters of spectral components. © 2014 Allerton Press, Inc
© Published under licence by IOP Publishing Ltd. An application of the artificial immune system meth...
The endmember extraction algorithm, which selects a collection of pure signature spectra for differe...
Feature selection is necessary to reduce the dimensional-ity of spectral image data. Particle swarm ...
An approach based on stochastic particle swarm optimization is proposed for the mathematical process...
© Published under licence by IOP Publishing Ltd. The approach based on the stochastic algorithm of p...
© 2017, Pleiades Publishing, Ltd.A particle swarm optimization algorithm is applied for mathematical...
A nonlinear fitting model is proposed for the problem of nuclear energy spectrum decomposition. And ...
An approach based on stochastic particle swarm optimization was applied for the mathematical process...
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 ...
Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired by the coll...
While rotational spectra can be rapidly collected, their analysis (especially for complex systems) i...
SUMMARY This paper presents a novel feature extraction algorithm based on particle swarms for proces...
This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly d...
The particle size distribution (PSD) plays an important role in environmental pollution detection an...
© Published under licence by IOP Publishing Ltd. An application of the artificial immune system meth...
The endmember extraction algorithm, which selects a collection of pure signature spectra for differe...
Feature selection is necessary to reduce the dimensional-ity of spectral image data. Particle swarm ...
An approach based on stochastic particle swarm optimization is proposed for the mathematical process...
© Published under licence by IOP Publishing Ltd. The approach based on the stochastic algorithm of p...
© 2017, Pleiades Publishing, Ltd.A particle swarm optimization algorithm is applied for mathematical...
A nonlinear fitting model is proposed for the problem of nuclear energy spectrum decomposition. And ...
An approach based on stochastic particle swarm optimization was applied for the mathematical process...
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 ...
Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired by the coll...
While rotational spectra can be rapidly collected, their analysis (especially for complex systems) i...
SUMMARY This paper presents a novel feature extraction algorithm based on particle swarms for proces...
This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly d...
The particle size distribution (PSD) plays an important role in environmental pollution detection an...
© Published under licence by IOP Publishing Ltd. An application of the artificial immune system meth...
The endmember extraction algorithm, which selects a collection of pure signature spectra for differe...
Feature selection is necessary to reduce the dimensional-ity of spectral image data. Particle swarm ...