NEURAL NETWORK FORMATION OF EDUCATIONAL QUALIFICATION CHARACTERISTICS IN THE SYSTEM OF DISTANCE LEARNING MOODLE
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Keywords

distance learning system MOODLE
intelligent system
neural network system NeuroShell2
neural network architecture neural networks
multilayer neural network with direct spread of the signal

How to Cite

[1]
O. O. Arsirii and O. H. Zhylenko, “NEURAL NETWORK FORMATION OF EDUCATIONAL QUALIFICATION CHARACTERISTICS IN THE SYSTEM OF DISTANCE LEARNING MOODLE”, ITLT, vol. 14, no. 6, Aug. 2010, doi: 10.33407/itlt.v14i6.215.

Abstract

The method for formation of the neural network based on educational qualification characteristics of graduates of educational institutions in distance learning system is offered. Modeling was performed by means of MOODLE, NeuroShell2 and PHP under the Code certification and training of seafarers' for seafarers training center. It is shown that the proposed method can be used for a wide range of educational institutions.
PDF (Ukrainian)

References

Документація ДН MOODLE [Електронний ресурс] - Режим доступу до докум. : http://docs.moodle.org

Чубукова, Data Mining / І. А. Чубукова: Курс лекцій. – 326 с.

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Саймон Хайкин, Нейронні мережі: повний курс, 2-е видання. : Пер. з англ. – М. : Видавничий будинок «Вільямс», 2006. – 1104 с. : мул. – Парал. Тіт. Англ.

Круглов В.В. Штучні нейронні мережі. Теорія і практика. – 2-е видавництво, стереотип. – М.: Вид-во Гаряча линия–Телеком, 2002. - 382 с.: мул.

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