Titlebook: Lecture Notes in Computational Intelligence and Decision Making; Proceedings of the X Volodymyr Lytvynenko,Sergii Babichev,Svetlana Rade Co

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Regression Spline-Model in Machine Learning for Signal Prediction and Parameterizationquares (OLS) method. The complex form of the time series requires the complication of the polynomial and the growth of its order. This leads to problems with the conditionality of the equations and the inadequacy of the model. Applying splines allows you to partially solve these problems. In this pa

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Intelligent Agent-Based Simulation of HIV Epidemic Processbeen developed, which allows to take into account factors affecting the incidence, distribution by age categories and risk groups. The model uses statistical data on the real incidence of HIV infection in the Kharkiv region from 2010 to 2018. The intelligent agent-based model is implemented in the V

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On the Computational Complexity of Learning Bithreshold Neural Units and Networkse two sufficient conditions ensuring the possibility of separation of two sets in .-dimensional vector space by means of one bithreshold neuron. Our approach is based on application of convex and affine hulls of sets and is feasible in the case when one of the two sets is a compact and the second on

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