APPLICATION OF NEURAL NETWORKS IN MINE DETECTION
The main goal of this paper is to apply a method that can make minesweeping safer by no longer demanding human assistance for the localization of landmines. The objective is to create a machine that can determine the place of specific landmine types by their geometric features. for this, the required knowledge is acquired by methods based on artificial neural networks. The result of our work is the simulation of the algorithm of an intelligent robot's pattern recognition module that can achieve the first step of demining an area, which is localizing mines without risking human life.