Artificial Neural Networks for Civil Engineers: Fundamentals and Applications
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This monograph provides researchers with an understanding of the potential of artificial neural networks for solving civil engineering related problems, and guidance on how to develop successful implementations for a broad range of problems. Fundamental issues in the selection, development, and use of neural networks, as well as example applications to each of the various disciplines in civil engineering are presented. An introduction to neural networks is provided, along with a classification of the various forms of neural networking systems available (architectures, modes of operation, and methods of development).
PrefaceAcknowledgementsAuthor BiographiesCh. 1Introduction1Ch. 2Systems19Ch. 3Validation And Verification44Ch. 4Damage Detection from Vibration Measurements using N.N Technology65Ch. 5Neural Network for Identification and Control of Civil Engineering Structures92Ch. 6Application of Neural Networks to Owner-Contractor Pre-qualification124Ch. 7Neural Network Applications in Transportation Engineering137Ch. 8Geomaterial Modeling using Artificial Neural Networks160Ch. 9Assessing the Liquefaction Susceptibility at a Site based on Information from Penetration Testing185Subject Index215Author Index216
