Isbn: 9783639151749 - cost prediction by machine learning: using machine learning techniques for early cost prediction of structural systems of buildings (3 resultados)

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  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Müller, 2009

    3639151747 / 9783639151749

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 51,10

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Cost Prediction by Machine Learning | Using Machine Learning Techniques for Early Cost Prediction of Structural Systems of Buildings | Sevgi Zeynep Dogan Erdogmus | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639151749 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Müller, 2009

    3639151747 / 9783639151749

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 59,71

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is desirable to predict construction costs in the early design stage to make sure that target costs are met. The book investigates the possibility of predicting the cost of construction early in the design phase by using machine learning techniques. Therefore, artificial neural network (ANN) and case based reasoning (CBR) prediction models were developed in a spreadsheet-based format. An investigation of the impacts of weight generation methods on the ANN and CBR models was conducted. The performance of the ANN model was enhanced by experimenting with the weight generation methods of simplex optimization, back propagation training, and genetic algorithms while the CBR model was augmented by feature counting, gradient descent, genetic algorithms, decision tree methods of binary-dtree, info-top and info-dtree. Cost data belonging to the superstructure of low-rise residential buildings were used to test these models. Both approaches were found to be capable of providing high prediction accuracy. A comparison of the ANN and CBR models was made in terms of prediction accuracy, preprocessing effort, explanatory value, improvement potentials and ease of use.…

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Müller, 2009

    3639151747 / 9783639151749

    • Tapa blanda
    • Impresión bajo demanda

    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 46,32

    Envío por EUR 48,99 
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    Cantidad disponible: Más de 20 disponibles

    Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dogan Erdogmus Sevgi ZeynepS. Zeynep Dogan, PhD: Studied Construction Management at Izmir nInstitute of Technology and Illinois Institute of Technology at nChicago. Assistant Professor at IZTECH, Izmir, Turkey.It is desirable to .…