Title:
On Systemic Classifications and Machine Learning
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Co-author(s) :
Grigoryan Sedrak ; Hakobyan Nairi
Uncontrolled Keywords:
Mental system ; Systemic ; Ontology ; Neural network ; Combinatory
Abstract:
Positioning of a/scmds systems with respect to parametric and neural network models. A/scmds systems are ontological, systemic, comparable with natural languages in covering mental systems and are constructively modeling mental systems, at least in a fuzzy way. The questions arise to the abilities of computers in accepting, disposing and properly processing a/smds models. Some prospective answers to above questions for RGT problems are outlined.
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Affiliation:
Institute for Informatics and Automation Problems ; Division of Computational and Cognitive networks ; Russian-Armenian (Slavonic) University ; Mathematical and programmingsecurity of computers, complexesand computer networks
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Conference title:
11th International Conference on Computer Science and Information Technologies CSIT 2017