Machine Learning in Concrete Technology: Machine Learning: Concrete Technology

 
9783639356847: Machine Learning in Concrete Technology: Machine Learning: Concrete Technology

The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination of E value of normal strength concrete based on the AI. The developed AI model also gives error bar of predicted E value. The predicted error bar can be used to determine model uncertainty. This study shows that the developed AI is a robust model for prediction of E value of normal strength concrete.

"synopsis" may belong to another edition of this title.

About the Author:

Dr. Pijush Samui is an associate professor at CDMM in VIT University, Vellore, India. Dr. S.K. Sekar is the director of CDMM in VIT University. Kallyan Kulkarni is a postgraduate student at VIT university

Dr. Pijush Samui is an associate professor at CDMM in VIT University, Vellore, India. Dr. S.K. Sekar is the director of CDMM in VIT University. Kallyan Kulkarni is a postgraduate student at VIT university

Dr. Pijush Samui is an associate professor at CDMM in VIT University, Vellore, India. Dr. S.K. Sekar is the director of CDMM in VIT University. Kallyan Kulkarni is a postgraduate student at VIT university

"About this title" may belong to another edition of this title.

Buy New View Book
List Price: US$ 70.00
US$ 49.80

Convert Currency

Shipping: US$ 7.99
From United Kingdom to U.S.A.

Destination, Rates & Speeds

Add to Basket

Top Search Results from the AbeBooks Marketplace

1.

Pijush Samui
Published by VDM Verlag 2011-05-11 (2011)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New paperback Quantity Available: > 20
Seller:
Blackwell's
(Oxford, OX, United Kingdom)
Rating
[?]

Book Description VDM Verlag 2011-05-11, 2011. paperback. Book Condition: New. Bookseller Inventory # 9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 49.80
Convert Currency

Add to Basket

Shipping: US$ 7.99
From United Kingdom to U.S.A.
Destination, Rates & Speeds

2.

Samui, Pijush / Sekar, S. K.
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Quantity Available: 1
Seller:
Rating
[?]

Book Description Book Condition: New. Publisher/Verlag: VDM Verlag Dr. Müller | Machine Learning: Concrete Technology | The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination of E value of normal strength concrete based on the AI. The developed AI model also gives error bar of predicted E value. The predicted error bar can be used to determine model uncertainty. This study shows that the developed AI is a robust model for prediction of E value of normal strength concrete. | Format: Paperback | Language/Sprache: english | 84 pp. Bookseller Inventory # K9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 55.29
Convert Currency

Add to Basket

Shipping: US$ 3.53
From Germany to U.S.A.
Destination, Rates & Speeds

3.

Samui, Pijush
Published by VDM Verlag (2016)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Paperback Quantity Available: 1
Print on Demand
Seller:
Ria Christie Collections
(Uxbridge, United Kingdom)
Rating
[?]

Book Description VDM Verlag, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9783639356847_lsuk

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 62.16
Convert Currency

Add to Basket

Shipping: US$ 5.15
From United Kingdom to U.S.A.
Destination, Rates & Speeds

4.

Pijush Samui
Published by VDM Verlag (2011)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Quantity Available: > 20
Print on Demand
Seller:
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description VDM Verlag, 2011. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # LQ-9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 56.63
Convert Currency

Add to Basket

Shipping: US$ 11.98
From United Kingdom to U.S.A.
Destination, Rates & Speeds

5.

Pijush Samui
Published by VDM Verlag (2011)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Quantity Available: > 20
Print on Demand
Seller:
Pbshop
(Wood Dale, IL, U.S.A.)
Rating
[?]

Book Description VDM Verlag, 2011. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 65.06
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

6.

Pijush Samui
Published by VDM Verlag Mai 2011 (2011)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Taschenbuch Quantity Available: 2
Seller:
Rheinberg-Buch
(Bergisch Gladbach, Germany)
Rating
[?]

Book Description VDM Verlag Mai 2011, 2011. Taschenbuch. Book Condition: Neu. Neuware - The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination of E value of normal strength concrete based on the AI. The developed AI model also gives error bar of predicted E value. The predicted error bar can be used to determine model uncertainty. This study shows that the developed AI is a robust model for prediction of E value of normal strength concrete. 84 pp. Englisch. Bookseller Inventory # 9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 59.63
Convert Currency

Add to Basket

Shipping: US$ 20.24
From Germany to U.S.A.
Destination, Rates & Speeds

7.

Pijush Samui
Published by VDM Verlag Mai 2011 (2011)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Taschenbuch Quantity Available: 2
Seller:
BuchWeltWeit Inh. Ludwig Meier e.K.
(Bergisch Gladbach, Germany)
Rating
[?]

Book Description VDM Verlag Mai 2011, 2011. Taschenbuch. Book Condition: Neu. Neuware - The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination of E value of normal strength concrete based on the AI. The developed AI model also gives error bar of predicted E value. The predicted error bar can be used to determine model uncertainty. This study shows that the developed AI is a robust model for prediction of E value of normal strength concrete. 84 pp. Englisch. Bookseller Inventory # 9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 59.63
Convert Currency

Add to Basket

Shipping: US$ 20.24
From Germany to U.S.A.
Destination, Rates & Speeds

8.

Samui, Pijush; Sekar, S.K.; Kulkarni, Kallyan
Published by VDM Verlag Dr. Müller (2011)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Paperback Quantity Available: 10
Print on Demand
Seller:
Ergodebooks
(RICHMOND, TX, U.S.A.)
Rating
[?]

Book Description VDM Verlag Dr. Müller, 2011. Paperback. Book Condition: New. This item is printed on demand. Bookseller Inventory # INGM9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 83.38
Convert Currency

Add to Basket

Shipping: US$ 4.99
Within U.S.A.
Destination, Rates & Speeds

9.

Pijush Samui, S K Sekar, Kallyan Kulkarni
Published by VDM Verlag, Germany (2011)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Paperback Quantity Available: 1
Seller:
The Book Depository EURO
(London, United Kingdom)
Rating
[?]

Book Description VDM Verlag, Germany, 2011. Paperback. Book Condition: New. Language: English . Brand New Book. The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination of E value of normal strength concrete based on the AI. The developed AI model also gives error bar of predicted E value. The predicted error bar can be used to determine model uncertainty. This study shows that the developed AI is a robust model for prediction of E value of normal strength concrete. Bookseller Inventory # KNV9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 89.42
Convert Currency

Add to Basket

Shipping: US$ 4.01
From United Kingdom to U.S.A.
Destination, Rates & Speeds

10.

Pijush Samui
Published by VDM Verlag Mai 2011 (2011)
ISBN 10: 3639356845 ISBN 13: 9783639356847
New Taschenbuch Quantity Available: 1
Print on Demand
Seller:
AHA-BUCH GmbH
(Einbeck, Germany)
Rating
[?]

Book Description VDM Verlag Mai 2011, 2011. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand Neuware - The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination of E value of normal strength concrete based on the AI. The developed AI model also gives error bar of predicted E value. The predicted error bar can be used to determine model uncertainty. This study shows that the developed AI is a robust model for prediction of E value of normal strength concrete. 84 pp. Englisch. Bookseller Inventory # 9783639356847

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 59.63
Convert Currency

Add to Basket

Shipping: US$ 34.85
From Germany to U.S.A.
Destination, Rates & Speeds

There are more copies of this book

View all search results for this book