Titlebook: Artificial Intelligence; 16th Russian Confere Sergei O. Kuznetsov,Gennady S. Osipov,Vadim L. Ste Conference proceedings 2018 Springer Natur

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Using Convolutional Neural Networks for the Analysis of Nonstationary Signals on the Problem Diagno complex pathologies of vision. A method is proposed based on data clustering, that allows to extract knowledge from biophysical research data in situations where it is impossible to make an unambiguous diagnosis on the basis of available data, or there are several diseases simultaneously.

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Discrete Model of Asynchronous Multitransmitter Interactions in Biological Neural Networks, .] by novel concepts that make it more biologically plausible. In the model, neurons interact by emitting neurotransmitters to the shared extracellular space (ECS). We introduce dynamics of membrane potentials that comprises two factors: the endogenous currents depending on the neurons of firing ty

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eLIAN: Enhanced Algorithm for Angle-Constrained Path Finding,ments does not exceed the predefined threshold, is considered in the paper. This problem is harder to solve than the one when shortest paths of any shape are sought, since the planer’s search space is substantially bigger as multiple search nodes corresponding to the same location need to be conside

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Using the CSLA .NET Base Classes, The obtained results illustrate that the proposed argumentation semantics of stepping theories with two kinds of negation is paraconsistent in the sense that logical inconsistencies existing in these theories does not lead to their destruction.

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Conference proceedings 2018 full papers presented along with 4 short papers in this volume were carefully reviewed and selected from 75 submissions. The conference deals with a wide range of topics, including?data mining and knowledge discovery, text mining, reasoning, decision making, natural language processing, vision, int

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