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.
Synopsis
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.
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.
