Object

Title: On Systemic Classifications and Machine Learning

Co-author(s) :

Grigoryan Sedrak ; Hakobyan Nairi

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.

Identifier:

oai:noad.sci.am:135794

Language:

English

URL:


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

Country:

Armenia

Year:

2017

Time period:

September25-29

Conference title:

11th International Conference on Computer Science and Information Technologies CSIT 2017

Place:

Yerevan

Participation type:

oral

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 16, 2020

Number of object content hits:

3

All available object's versions:

https://noad.sci.am/publication/149321

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