Neural-model based searching procedure for desired region boarder construction

Application of ANNs as a tool in proposed techniques has been developed. ANNs model of desired region's border allows to get more available information on the performance indices' behavior in the vicinity of the border. Enclosed in ANNs-model output calculation of recommended value for scanning step norm and of the performance indices gradient enables the use of ANNs-model as a source of important information under solving an interpolation and extrapolation problems. In the opposite of traditional approaches mostly based on approximations through preliminary stored experimental data files, proposed method exploits ANNs-model as an element of searching procedure via successive experimentation.