An Inverse Problem Involving Integration of Optical Spectroscopic Methods: Study of Influence of Feature Selection on Resilience of Neural Network Solution to Noise in Dataстатья
Дата последнего поиска статьи во внешних источниках: 8 апреля 2022 г.
Аннотация:A neural network solution to the inverse problem of optical spectroscopy for determining ion concentrations in a multicomponent aqueous solution of heavy metal salts and methods for increasing its resilience to noise in the data are considered. It is shown that simultaneous use of the selection of significant input features and the integration of physical methods with the correct method of application allows one to achieve the best result.