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

Papzan, Ali; A. Majid, Taksiah; Azmi Megat Johari, Megat

 
9783659199202: Forecasting the Compressive Strength of SCC by ANNs: The Application of Artificial Neural Networks to Predict the Compressive Strength of Self-Compacting Concretes

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

Civil and Energy Saving Engineer

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.