Library Retrieval System
- xv, 216 p. : ill. ; 26 cm.
- Additional Authors
- Agrawal, G.Flood, Ian.Garrett, James H.Kartam, Nabil.
- Corporate Author
- American Society of Civil Engineers. Expert Systems and Artificial Intelligence Committee.
- Ch. 1. Introduction / J. H. Garrett, D. J. Gunaratnam and N. Ivezic -- Ch. 2. Systems / I. Flood and N. Kartam -- Ch. 3. Validation And Verification / J. M. Twomey and A. E. Smith -- Ch. 4. Damage Detection from Vibration Measurements using N.N Technology / J. Ortiz, C. Ferregut and R. A. Osegueda -- Ch. 5. Neural Network for Identification and Control of Civil Engineering Structures / G. Z. Qi, J. C. S. Yang and F. Amini -- Ch. 6. Application of Neural Networks to Owner-Contractor Pre-qualification / A. S. Hanna, J. S. Russell and M. A. Taha [et al.] -- Ch. 7. Neural Network Applications in Transportation Engineering / A. Faghri, D. Martinelli and M. J. Demetsky -- Ch. 8. Geomaterial Modeling using Artificial Neural Networks / P. Dayakar and J. A. Chameau -- Ch. 9. Assessing the Liquefaction Susceptibility at a Site based on Information from Penetration Testing / G. Agrawal, J. A. Chameau and P. L. Bourdeau.Includes bibliographical references and indexes.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).