To the question on geometrization of abnormal structures of geochemical fields of hydrothermal ore deposits

Abstract

Possibilities of various mathematical methods at geometrization of abnormal geochemical fields of ore deposits are discussed. Peculiarities of application of linear and nonlinear methods of image recognition are considered on the specific example for solution of these problems: discriminant analysis, multiple regression method, artificial neural networks. Conditions of optimum application of the named methods are defined. The opportunity of secondary aureoles mapping data application for identification of the primary abnormal geochemical field structure is shown