LOCALIZATION AND IDENTIFICATION OF STM-IMAGES OF ULTRADISPERSED PARTICLES USING THE NEURAL NET FRAMEWORK
The work covers the ultradispersed particles of cluster materials localization on images, obtained by scanning tunnel microscopy method. In addition a particle profilogram recognition technique was elaborated using a neural net mathematical framework, which allows essentially increase reliability and automation level of cluster materials STM images identification.