Simulation using artificial neural networks in geotechnical engineering

Language: English

Published by Our Knowledge Publishing, 2023

6206065111 / 9786206065111

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  • New
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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nach der Bestellung gedruckt Neuware - Printed after ordering - With the rapid technological and industrial development that the world has seen, particularly in construction technology with these huge oil platforms in the depths of the ocean or desert. This requires an adequate load-bearing structural system, capable of distributing forces from one level to another until they reach the foot of the structure, known as the foundation. The important role of deep foundations in transmitting service loads from the superstructure to the deep soil bearing layers has prompted the use of empirical and semi-empirical methods for the axial bearing capacity design of a pile. Alternatively, artificial neural networks (ANNs) have recently been used to predict the ultimate capacity of piles based on in situ tests. Very recently, several researchers have successfully used the RNAs artificial neural network approach for the development of integrated models in conjunction with other probabilistic and evolutionary methods.…

Seller Inventory # 9786206065111

Title
Simulation using artificial neural networks in geotechnical engineering
Author
Amal Benali
Publisher
Our Knowledge Publishing
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206065111
ISBN 13
9786206065111
Item weight
96 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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