No. 1, 2020

KNOWLEDGE BASED SYSTEMS

1. Methodology for neuron-network technologies in recognition of trigrams Ю.И. Бутенко, А.А. Коноплева pp. 5-17

INTELLIGENT TECHNOLOGIES IN CONTROL OF DYNAMIC SYSTEMS

1. The method of determining the flight altitude unmanned aerial vehicle for the correction of strapdown inertial navigation systems using intelligent systems geospatial information В.М. Гончаров, В.Ю. Лупанчук pp. 18-30

NEUROPHYSIOLOGICAL MODELS OF NEURAL NETWORKS

1. Neurocomputer analysis of insertion/deletion polymorphism in the gene for angiotensin converting enzyme and anxiety in students А.Е. Талипова, Н.А. Рябчикова, Сколковский Институт Науки, В.А. Спицын pp. 31-38

THEORY OF NEURAL NETS, NEURO-FUZZY MODELS AND NETS

1. A high generalization capability artificial neural network architecture based on RBF-network M.A. Abrosimov, A.V. Brovko pp. 39-45
2. The method of synthesis of intelligent controls based on the analysis of the behavior of dynamic measures on a switching hypersurface in regions of phase space with fuzzy boundaries Д.С. Андрашитов, А.А. Костоглотов, С.В. Лазаренко pp. 46-54

DESIGN OF INTELLIGENT SYSTEMS AND THEIR SOFTWARE IMPLEMENTATION

1. Quantitative determination of fault tolerance of artificial neural networks based on memristors S.N. Danilin, S.A. Shchanikov, I.A. Bordanov, A.D. Zuev pp. 55-65

MULTI-AGENT SYSTEMS AND COGNITIVE NEURAL NETWORK TECHNOLOGIES

1. Classification of anomalous states of computer systems by means of intellectual analysis of system journals O.I. Sheluhin, D.V. Kostin pp. 66-94