This is the second of a two-monograph set on the applications of artificial neural networks (ANN) to civil engineering, complementing Artificial Neural Networks for Civil Engineers: Fundamentals and Applications (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.
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