Multi layer feed forward artificial neural network for learning styles identification

Multi layer feed forward artificial neural network for learning styles identification

Accommodating learning styles in adaptive educational hypermedia system (AEHS) may lead to an increased effectiveness and efficiency of the learning process as well as teacher and learner satisfaction. The premise is that a fact that learning in the classroom is less efficient, when teachers will no...

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書目詳細資料
主要作者:	Bayasut, Bilal Luqman
格式:	Thesis
語言:	English English
出版:	2015
主題:	Q Science (General) QA Mathematics QA76 Computer software
在線閱讀:	http://eprints.utem.edu.my/id/eprint/16821/1/Multi%20Layer%20Feed%20Forward%20Artificial%20Neural%20Network%20For%20Learning%20Styles%20Identification.pdf http://eprints.utem.edu.my/id/eprint/16821/2/Multi%20layer%20feed%20forward%20artificial%20neural%20network%20for%20learning%20styles%20identification.pdf
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