Applying Stratigraphic Classification Estimation Using Neural Networks to Coastal Regions of the Fukuoka Plain, Japan

Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 62)


In recent years, geotechnical information databases in Japan have been enhanced. Technology to create the geotechnical ground model has been developed. Nevertheless, judgment of the stratum is made subjectively by people. A regional geotechnical model can become further advanced if this stratigraphic classification were done rationally and promptly. The applicability of stratigraphic classification identification was confirmed in earlier studies applying neural networks (NN) in two layers: Nakasu and Arae layers. To make it more practical, this study investigated the applicability of NN in places where large changes in strata of three or more layers have occurred.


neural networks stratigraphic classification estimation 


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  1. JSCEwest (2012). Research Report on Utilization of Geotechnical Information Database, in Japan.Google Scholar
  2. Matsuno et al. (2018). Identification of Stratigraphic Classification by Neural Network. 53rd Japan National Conference on Geotechnical Engineering, 121–122, (in Japanese).Google Scholar
  3. Ryu et al. (2019). Application of stratigraphic classification estimation method to coastal area of Fukuoka plain by neural networks. JSCEwest, (in Japanese).Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Fukuoka UniversityFukuokaJapan
  2. 2.Tobishima CorporationTokyoJapan

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