Forecasting the Compressive Strength of SCC by ANNs - The Application of Artificial Neural Networks to Predict the Compressive Strength of Self-Compacting Concretes

de Papzan, Ali
État : Neuf
66,95 €
TVA incluse - Livraison GRATUITE
Papzan, Ali Forecasting the Compressive Strength of SCC by ANNs - The Application of Artificial Neural Networks to Predict the Compressive Strength of Self-Compacting Concretes
Papzan, Ali - Forecasting the Compressive Strength of SCC by ANNs - The Application of Artificial Neural Networks to Predict the Compressive Strength of Self-Compacting Concretes

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Livraison : entre jeudi 4 novembre 2021 et lundi 8 novembre 2021
Vente et expédition: Dodax

La description

The book is subdivided into five chapters. Each chapter is briefly described as follows: Chapter 1 gives a general background of the subject matter and serves as an introductory chapter. It incorporates the background of the study, problem statement, objectives of the research and a brief on the outline. Chapter 2 comprises of information relevant to this work. It includes background information on concrete characteristics, self compacting concrete, artificial intelligence, and the application of artificial neural networks in concrete research. Chapter 3 is devoted to the methodology adopted to achieve the objectives of the research. This includes investigation of the best network used for the prediction of self compacting concrete characteristics by using published experimental data. Chapter 4 describes the details on modelling and programming. It also presents all steps in designing artificial neural network and comprises the results of the main proposed training functions to obtain the best network. Chapter 5 contains the conclusions arrived at and gives the recommendations for future works.

Contributeurs

Écrivain:
Papzan, Ali
Majid, Taksiah A.
Megat, Azmi Megat Johari

Détails du produit

Biographie:
Civil and Energy Saving Engineer
Langues:
Anglais
Nombre de pages:
180
Type de média:
Souple
Éditeur:
LAP Lambert Academic Publishing

Données de base

Type d'produit:
Livre de poche
Date de publication:
29 août 2012
Dimensions du colis:
0.22 x 0.15 x 0.01 m; 0.318 kg
GTIN:
09783659199202
DUIN:
AN4ATP4OQ7N
66,95 €
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