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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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 t...
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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