Artificial Neural Networks for Civil Engineers: Advanced Features and Applications
Artificial neural networks represent a broad and rapidly developing technology featuring new systems and novel ways of applying established systems. This monograph illustrates advanced methods and recent developments in applying artificial neural network concepts in civil engineering.
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Artificial neural networks represent a broad and rapidly developing technology featuring new systems and novel ways of applying established systems. This monograph illustrates advanced methods and recent developments in applying artificial neural network concepts in civil engineering. Booknews This is the second of a two-monograph set on the applications of artificial neural networks (ANN) to civil engineering, complementing (1997). Further and literally illustrating the eclectic ways neural networks can enhance civil engineering problem-solving, 11 chapters explore such areas as: evaluating construction technologies; using ANN architecture to overcome glitches with conventional traffic control systems; predicting carbonation depth in concrete structures; optimizing optimization models; and estimating the energy efficiency of homes. Annotation c. by Book News, Inc., Portland, Or.
PrefaceAcknowledgementsAuthor Biographies1Neural Networks for Evaluating Construction Technology12A Neural Network-Based Traffic Control System for Isolated Intersections353Neural Networks in Optimal Calibration of Water Distribution Systems534An Artificial Neural Network for Predicting Carbonation Depth in Concrete Structures775Interpretation of Digital Signals Using Hybrid Neural Networks and Pattern Recognition Techniques1186Classification of Pavement Surface Distress with an Embedded Neural Net Chip1317Backcalculation of Flexible Pavement Modull from Falling Weight Deflectometer Data using Artificial Neural Networks1628Backcalculation of Pavement Profiles from the SASW Test by Neural Networks1919The Combined Use of Belief-Functions and Adaptive Neural Networks in Pavement Management Systems Decision-Making22310Merging Genetic Algorithms with Neural Networks: Owner-Contractor Prequalification Example24711A Neural Approach to Estimating Energy Efficiency in Residential Buildings260Index273
\ BooknewsThis is the second of a two-monograph set on the applications of artificial neural networks (ANN) to civil engineering, complementing (1997). Further and literally illustrating the eclectic ways neural networks can enhance civil engineering problem-solving, 11 chapters explore such areas as: evaluating construction technologies; using ANN architecture to overcome glitches with conventional traffic control systems; predicting carbonation depth in concrete structures; optimizing optimization models; and estimating the energy efficiency of homes. Annotation c. by Book News, Inc., Portland, Or.\ \
