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Increase of the Resistance to Noise in Data for Neural Network Solution of the Inverse Problem of Magnetotellurics with Group Determination of Parameters.

, , , , and . ICANN (1), volume 9886 of Lecture Notes in Computer Science, page 502-509. Springer, (2016)

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Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data., , , , , and . ICANN (1), volume 11139 of Lecture Notes in Computer Science, page 435-444. Springer, (2018)Application of Wavelet Neural Networks for Monitoring of Extraction of Carbon Multi-Functional Medical Nano-Agents from the Body., , , , , , , and . BICA, volume 145 of Procedia Computer Science, page 177-183. Elsevier, (2018)Increase of the Resistance to Noise in Data for Neural Network Solution of the Inverse Problem of Magnetotellurics with Group Determination of Parameters., , , , and . ICANN (1), volume 9886 of Lecture Notes in Computer Science, page 502-509. Springer, (2016)Training with Noise Addition in Neural Network Solution of Inverse Problems: Procedures for Selection of the Optimal Network., and . BICA, volume 123 of Procedia Computer Science, page 171-176. Elsevier, (2017)Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts: Group Determination as a Method to Increase Noise Resilience of the Solution., , , and . BICA, volume 123 of Procedia Computer Science, page 177-182. Elsevier, (2017)Multitasking learning in missing data recovery for the integration of geophysical methods in solving an inverse problem of exploration geophysics., , , , , and . BICA*AI, volume 213 of Procedia Computer Science, page 777-784. Elsevier, (2022)Study of Influence of Parameter Grouping on the Error of Neural Network Solution of the Inverse Problem of Electrical Prospecting., , , , and . EANN (1), volume 383 of Communications in Computer and Information Science, page 81-90. Springer, (2013)