Artificial Intelligence in Soil Exploration

  • Kingsley Harrop-Williams
Conference paper


Recognizing the inherent randomness of the soil, this paper develops a statistical pattern recognition scheme to optimally identify soil types when the cone penetrometer is used. The system recursively sharpens its memory and includes a fuzzy updating procedure for suspected anomalies. The final result is an artificially intelligent system to aid the soil explorer.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • Kingsley Harrop-Williams
    • 1
  1. 1.The BDM CorporationMcLeanUSA

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