COUPLING NUMERIC AND SYMBOLIC COMPUTING FOR SOIL EROSION MODELING
Abstract
A structure for supporting adaptive model design was conceived and implemented in a program named ADAM. ADAM uses artificial intelligence techniques to allow a knowledge engineer along with a modeling expert to build a program capable of generating and running models that are specifically suited to unique user circumstances. The program was tested for its suitability in a soil erosion model. ADAM successfully combined symbolic and numeric computing to attain the intended research objectives. The soil erosion model was based upon physical processes and incorporated equations that were fostered by the USDA-ARS Water Erosion Prediction Project. The model allows graphical slope description and provides constantly updated graphical output.
Degree
Ph.D.
Subject Area
Agricultural engineering|Artificial intelligence
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