Cost Prediction by Machine Learning

Name: Cost Prediction by Machine Learning
Brand: VDM Verlag Dr. Müller
SKU: 9783639151749
Price: 247.86 PLN
Availability: InStock

Using Machine Learning Techniques for Early Cost Prediction of Structural Systems of Buildings

Autor: Sevgi Zeynep Dogan Erdogmus

Język:

Oprawa: Miękka

Wydawca: VDM Verlag Dr. Müller

Dostępność: Na zamówienie

Wysyłamy za 17-27 dni

247.86 zł

It is desirable to predict construction costs in the §early design stage to make sure that target co...

Informacje o książce

Autor

Sevgi Zeynep Dogan Erdogmus

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2009

strony

124

EAN

9783639151749

Enbook ID

06823701

Wydawca

VDM Verlag Dr. Müller

Waga

201

Wymiary

150 x 220 x 7

Pełny opis

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.

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Cost Prediction by Machine Learning

Using Machine Learning Techniques for Early Cost Prediction of Structural Systems of Buildings

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