Data Analytics Techniques for Concrete Compressive Strength Prediction | Impact Study of the Ingredients of High-Performance Concrete on the Compressive Strength using Data Analytics Techniques
Kumar Shaswat
ISBN 10: 3330027878 ISBN 13: 9783330027879
Published by LAP LAMBERT Academic Publishing, 2018
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Data Analytics Techniques for Concrete Compressive Strength Prediction | Impact Study of the Ingredients of High-Performance Concrete on the Compressive Strength using Data Analytics Techniques | Kumar Shaswat | Taschenbuch | 100 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783330027879 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 114861375
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Title: Data Analytics Techniques for Concrete ...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2018
Binding: Taschenbuch
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Data Analytics Techniques for Concrete Compressive Strength Prediction
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaswat KumarA Civil Engineer, currently pursuing PhD from Bennett University. Working in the field of Deep Learning Application in Civil Engineering and Structural Health Monitoring.This Research Work incorporates different Data. Seller Inventory # 385707403
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Data Analytics Techniques for Concrete Compressive Strength Prediction
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ISBN 10: 3330027878
ISBN 13: 9783330027879
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Taschenbuch. Condition: Neu. Neuware -This Research Work incorporates different Data Analytic Techniques for a comparative study in predicting concrete strength aimed to improve the accuracy of prediction. The methods used are the linear regression with independent variable water to cement ratio (w/c), multi-linear regression with independent variables water/cement ratio, water, cement, blast furnace slag, fly ash, superplasticizers, fine aggregate, coarse aggregate, and age of testing, Regression Trees for better classification and prediction accuracy.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. Seller Inventory # 9783330027879
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Data Analytics Techniques for Concrete Compressive Strength Prediction
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LAP LAMBERT Academic Publishing Sep 2018, 2018
ISBN 10: 3330027878
ISBN 13: 9783330027879
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This Research Work incorporates different Data Analytic Techniques for a comparative study in predicting concrete strength aimed to improve the accuracy of prediction. The methods used are the linear regression with independent variable water to cement ratio (w/c), multi-linear regression with independent variables water/cement ratio, water, cement, blast furnace slag, fly ash, superplasticizers, fine aggregate, coarse aggregate, and age of testing, Regression Trees for better classification and prediction accuracy. 100 pp. Englisch. Seller Inventory # 9783330027879
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Data Analytics Techniques for Concrete Compressive Strength Prediction : Impact Study of the Ingredients of High-Performance Concrete on the Compressive Strength using Data Analytics Techniques
Published by
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ISBN 10: 3330027878
ISBN 13: 9783330027879
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Research Work incorporates different Data Analytic Techniques for a comparative study in predicting concrete strength aimed to improve the accuracy of prediction. The methods used are the linear regression with independent variable water to cement ratio (w/c), multi-linear regression with independent variables water/cement ratio, water, cement, blast furnace slag, fly ash, superplasticizers, fine aggregate, coarse aggregate, and age of testing, Regression Trees for better classification and prediction accuracy. Seller Inventory # 9783330027879
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Data Analytics Techniques for Concrete Compressive Strength Prediction
ISBN 10: 3330027878
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Data Analytics Techniques for Concrete Compressive Strength Prediction
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Data Analytics Techniques for Concrete Compressive Strength Prediction
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