61daa573-b36d-463e-b951-fe166b97d37920210224031245147wseamdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS2224-34021790-083210.37394/23209http://wseas.org/wseas/cms.action?id=40462420202420201710.37394/23209.2020.17http://wseas.org/wseas/cms.action?id=23178Neural Network Effectiveness Evaluation While the Intersection of
Images in the Receptor FieldSiranushSargsyanDepartment of Programming and Information Technologies, Yerevan State University, a.manoogian, 1, Yerevan, 0025, ArmeniaAnnaHovakimyanDepartment of Programming and Information Technologies, Yerevan State University, a.manoogian, 1, Yerevan, 0025, ArmeniaThe study and application of neural networks is one of the main areas in the field of artificial intelligence. The effectiveness of the neural network depends significantly on both its architecture and the structure of the training set. This paper proposes a probabilistic approach to evaluate the effectiveness of the neural network if the images intersect in the receptor field. A theorem and its corollaries are proved, which are consistent with the results obtained by a different path for a perceptron-type neural network.22420212242021172176https://www.wseas.org/multimedia/journals/information/2020/a425109-070.pdf10.37394/23209.2020.17.21https://www.wseas.org/multimedia/journals/information/2020/a425109-070.pdfFrank Rosenblatt F. Principles of Neurodynamics. Perceptrons and Theory of Brain Mechanisms. M., Mir, 1965, (in Russian)Perceptron - pattern recognition system, Edited by Ivahnenko A.G., Kiev, Naukova Dumka, 1975, (in Russian).Kroug P.G. Neural Networks and Neurocomputers: Course Tutorial "Microprocessors". - M .: Publishing house MEI, 2002, (in Russian)Sevastyanov B.A. The course of probability theory and mathematical statistics, M., Nauka, 1982.S. Sargsyan, A. Hovakimyan, Probabilistic Methods for Neural Networks Study, Quarterly Journal of Mechanics and Applied Mathematics, Issue 4 (2), Volume 69,“Oxford University Press”, Nov. 2016, pp.669-675S. Sargsyan, A. Hovakimyan, Statistical Evaluation of the Performance of the Neural Network, London Journal of Research in Computer Science and Technology, Volume 17 | Issue 1 | Compilation 1.0, 2017, pp.1-6