СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”

- Markova, Oksana (orcid.org/0000-0002-5236-6640), Semerikov, Serhiy O. (orcid.org/0000-0003-0789-0272) and Popel, M.V. (orcid.org/0000-0002-8087-962X) (2018) СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics” Proceedings of the 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops (2104). pp. 388-403. ISSN 1613-0073

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Official URL: http://ceur-ws.org/Vol-2104/

Abstract

The role of neural network modeling in the learning сontent of special course “Foundations of Mathematic Informatics” was discussed. The course was developed for the students of technical universities – future IT-specialists and directed to breaking the gap between theoretic computer science and it’s applied applications: software, system and computing engineering. CoCalc was justified as a learning tool of mathematical informatics in general and neural network modeling in particular. The elements of technique of using CoCalc at studying topic “Neural network and pattern recognition” of the special course “Foundations of Mathematic Informatics” are shown. The program code was presented in a CofeeScript language, which implements the basic components of artificial neural network: neurons, synaptic connections, functions of activations (tangential, sigmoid, stepped) and their derivatives, methods of calculating the network`s weights, etc. The features of the Kolmogorov–Arnold representation theorem application were discussed for determination the architecture of multilayer neural networks. The implementation of the disjunctive logical element and approximation of an arbitrary function using a three-layer neural network were given as an examples. According to the simulation results, a conclusion was made as for the limits of the use of constructed networks, in which they retain their adequacy. The framework topics of individual research of the artificial neural networks is proposed.

Item Type: Article
Keywords: CoCalc, cloud technologies, neural network simulation, foundations of mathematical informatics
Subjects: Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.7 Computer communication. Computer networks > 004.77 General networking applications and services
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) > 004.94 Simulation
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 5 Мathematics. natural sciences > 51 Mathematics
Divisions: Information Technologies and Learning Tools > Department of the Cloud-Вased Systems of ICT in Education
Depositing User: Сергій Олексійович Семеріков
Date Deposited: 30 May 2018 09:55
Last Modified: 01 Feb 2019 08:04
URI: http://lib.iitta.gov.ua/id/eprint/710720

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