Artificial Intelligence in Soil Exploration
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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