Selection of a land plot for building using a neural network

Abstract

The authors of the article consider issues related to the preliminary selection of a land plot for the accommodation of the object when conducting reconnaissance surveys. The algorithms of preliminary selection of land plots for placement of an object in a given area before and after introduction of a neuronetwork are presented and analyzed. The initial algorithm is of a fundamental nature and is aimed at the preliminary selection of a land plot (LP) for the location of the object in a given area, taking into account possible limitations (natural, technogenic, functional, etc.). It is the basis for constructing the next algorithm, which converts the necessary data for their use in the neural network and teaches it the procedures of selection of the LP.