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Artificial Neural Networks for Civil Engineers: Advanced Features and Applications

by Ian Flood, Univ. of Florida, Gainesville, FL,
Nabil Kartam, Kuwait Univ., P.O. Box 5969, Safat, 13060, Kuwait,


American Society of Civil Engineers, Reston, VA
978-0-7844-0344-0 (ISBN-13) | 0-7844-0344-9 (ISBN-10), 1998, Soft Cover, Pg. xv, 277
26 cm, By the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE
Out of Print: Not available at ASCE Bookstore.


Document Type: Book

Abstract:

Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE.

This report illustrates advanced methods and new developments in the application of artificial neural networks to solve problems in civil engineering.

Topics include: evaluating new construction technologies; using multi-layered artificial neural network architecture to overcome problems with conventional traffic signal control systems; increasing the computational efficiency of an optimization model; predicting carbonation depth in concrete structures; detecting defects in concrete piles; analyzing pavement systems; using neural network hybrids to select the most appropriate bidders for a construction project; and predicting the Energy Performance Index of residential buildings.

Many of the ideas and techniques discussed in this book cross across disciplinary boundaries and, therefore, should be of interest to all civil engineers.

Subject Headings: Neural networks | Intelligent transportation systems | Artificial intelligence (AI) | Smart buildings | Expert systems | Construction methods | Concrete piles

 

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