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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Neural Networks Application in Pavement Infrastructure Materials
verfasst von : Sunghwan Kim, Kasthurirangan Gopalakrishnan, Halil Ceylan
Erschienen in: Intelligent and Soft Computing in Infrastructure Systems Engineering
Verlag: Springer Berlin Heidelberg
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Interest on artificial neural networks (ANN) in infrastructure materials research and practice has increased in recent years. This chapter presents a review of ANN applications in characterization of infrastructure materials focusing on portland cement concrete (PCC) and asphalt concrete (AC) materials. The principles of ANN are briefly introduced and summarized. The strengths and limitations of ANN for modeling behavior of infrastructure materials are discussed. Various applications of the ANN approach in infrastructure materials testing, analysis and design problems are discussed.