Using Artificial Intelligence Predict by Quang Hung (8 results)

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2015

    3659779792 / 9783659779794

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2015

    3659779792 / 9783659779794

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    Taschenbuch. Condition: Neu. Using artificial intelligence to predict academic performance | Quang Hung Do | Taschenbuch | 92 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659779794 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Sep 2015, 2015

    3659779792 / 9783659779794

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book develops a validated set of models to predict student academic performance at university. Different models are developed by using artificial intelligence techniques (i.e., Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Cuckoo Search algorithm) and a combination of predictor variables. The predictor variables include the results of standardized exams and other factors, such as socio-economic background and student study habits, that may likely influence student performance. The results of the prediction ability of each model are investigated, analyzed, and discussed. The developed models can work as an advisory reference for lecturers in preparing course contents and learning materials. It is expected that this work may be used to support student admission procedures and strengthen the service system in educational institutions. 92 pp. Englisch.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2015

    3659779792 / 9783659779794

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book develops a validated set of models to predict student academic performance at university. Different models are developed by using artificial intelligence techniques (i.e., Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Cuckoo Search algorithm) and a combination of predictor variables. The predictor variables include the results of standardized exams and other factors, such as socio-economic background and student study habits, that may likely influence student performance. The results of the prediction ability of each model are investigated, analyzed, and discussed. The developed models can work as an advisory reference for lecturers in preparing course contents and learning materials. It is expected that this work may be used to support student admission procedures and strengthen the service system in educational institutions.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2015

    3659779792 / 9783659779794

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Do Quang HungQuang Hung Do, PhD, is currently with University of Transport Technology (Vietnam). He was a teaching assistant and a researcher at Feng Chia University (Taiwan). He served as a reviewer of several ISI-indexed journals, .…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2015

    3659779792 / 9783659779794

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2015

    3659779792 / 9783659779794

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by LAP LAMBERT Academic Publishing Sep 2015, 2015

    3659779792 / 9783659779794

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book develops a validated set of models to predict student academic performance at university. Different models are developed by using artificial intelligence techniques (i.e., Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Cuckoo Search algorithm) and a combination of predictor variables. The predictor variables include the results of standardized exams and other factors, such as socio-economic background and student study habits, that may likely influence student performance. The results of the prediction ability of each model are investigated, analyzed, and discussed. The developed models can work as an advisory reference for lecturers in preparing course contents and learning materials. It is expected that this work may be used to support student admission procedures and strengthen the service system in educational institutions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.…