Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Directions

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@InCollection{Shahin:2013:MWGTE,
  author =       "Mohamed A. Shahin",
  title =        "Artificial Intelligence in Geotechnical Engineering:
                 Applications, Modeling Aspects, and Future Directions",
  booktitle =    "Metaheuristics in Water, Geotechnical and Transport
                 Engineering",
  publisher =    "Elsevier",
  address =      "Oxford",
  year =         "2013",
  chapter =      "8",
  pages =        "169--204",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 intelligence, geotechnical engineering, modelling,
                 artificial neural network, evolutionary polynomial
                 regression",
  isbn13 =       "978-0-12-398296-4",
  DOI =          "doi:10.1016/B978-0-12-398296-4.00008-8",
  URL =          "http://www.sciencedirect.com/science/article/pii/B9780123982964000088",
  abstract =     "Over the last decade or so, artificial intelligence
                 (AI) has proved to provide a high level of competency
                 in solving many geotechnical engineering problems that
                 are beyond the computational capability of classical
                 mathematics and traditional procedures. This chapter
                 presents a brief overview of three selected AI
                 techniques and their applications in geotechnical
                 engineering, discusses some AI modelling aspects that
                 need further attention, and provides insights into
                 future directions and research challenges.",
}

Genetic Programming entries for Mohamed Shahin

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