New opportunities in solution of inverse problems in laser spectroscopy due to application of artificial neural networks

Inverse Problems ◽

Laser Spectroscopy ◽

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

Comparative Analysis of Residual Minimization and Artificial Neural Networks as Methods of Solving Inverse Problems: Test on Model Data

10.1007/978-3-319-32554-5_37 ◽

2016 ◽

pp. 289-295 ◽

Cited By ~ 4

Author(s):

Igor Isaev ◽

Sergey Dolenko

Keyword(s):

Neural Networks ◽

Comparative Analysis ◽

Inverse Problems ◽

Model Data ◽

Artificial Neural ◽

Residual Minimization

Application of Artificial Neural Networks and Hybrid Methods in the Solution of Inverse Problems

Artificial Neural Networks - Application ◽

10.5772/16064 ◽

2011 ◽

Author(s):

Jader Lugon ◽

Antonio J. da Silva Neto ◽

Luiz Biondi ◽

Francisco Jose da Cunha Pires Soeiro ◽

Cesar Costapinto ◽

...

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Hybrid Methods ◽

Inverse problems using Artificial Neural Networks in long range atmospheric dispersion

Kerntechnik ◽

10.3139/124.110116 ◽

2011 ◽

Vol 76 (2) ◽

pp. 115-120

Author(s):

P. K. Sharma ◽

B. Gera ◽

A. K. Ghosh

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Long Range ◽

Atmospheric Dispersion ◽

Artificial Neural Networks and Inverse Problems of Optical Diagnostics

Sixth International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2006.109 ◽

2006 ◽

Cited By ~ 2

Author(s):

Victor Abrukov ◽

Daria Troeshestova ◽

Roman Pavlov ◽

Pavel Ivanov

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Optical Diagnostics ◽

Improvement of Sievert Integration Model in brachytherapy via inverse problems and Artificial Neural Networks

Radiation Physics and Chemistry ◽

10.1016/j.radphyschem.2018.05.024 ◽

2019 ◽

Vol 155 ◽

pp. 260-264

Author(s):

Eriberto O. do Nascimento ◽

Lucas N. de Oliveira ◽

Linda V.E. Caldas

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Integration Model ◽

A hybrid approach with artificial neural networks, Levenberg–Marquardt and simulated annealing methods for the solution of gas–liquid adsorption inverse problems

Inverse Problems in Science and Engineering ◽

10.1080/17415970802082922 ◽

2009 ◽

Vol 17 (1) ◽

pp. 85-96 ◽

Cited By ~ 7

Author(s):

Jader Lugon ◽

Antônio J. Silva Neto ◽

César Costapinto Santana

Keyword(s):

Neural Networks ◽

Simulated Annealing ◽

Inverse Problems ◽

Hybrid Approach ◽

Liquid Adsorption ◽

Levenberg Marquardt ◽

Response Surfaces for Inverse Problems of Identifications of Damages using Electric Resistance Changes (Comparison with Artificial Neural Networks)

The Proceedings of OPTIS ◽

10.1299/jsmeoptis.2000.4.217 ◽

2000 ◽

Vol 2000.4 (0) ◽

pp. 217-222

Author(s):

Akira TODOROKI

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Response Surfaces ◽

Electric Resistance ◽

Proceedings of the 6th International Conference on Optimization of Electrical and Electronic Equipments ◽

Solution Of Magnetic Inverse Problems Using Artificial Neural Networks

10.1109/optim.1998.710444 ◽

2005 ◽

Cited By ~ 1

Author(s):

Minghui Xu ◽

N. Ida

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society ◽

Application of artificial neural networks to inverse problems in biomagnetism

10.1109/iembs.1995.579779 ◽

2002 ◽

Author(s):

K.K. Parker ◽

J.P. Wikswo

Keyword(s):

Neural Networks ◽

Inverse Problems ◽

When Going Backwards Means Progress: On the Solution of Biochemical Inverse Problems Using Artificial Neural Networks

Modern Trends in Biothermokinetics ◽

10.1007/978-1-4615-2962-0_19 ◽

1993 ◽

pp. 109-114

Author(s):

Douglas B. Kell ◽

Chris L. Davey ◽

Royston Goodacre ◽

Herbert M. Sauro

Keyword(s):

Neural Networks ◽

Inverse Problems ◽