| Lindsay R. K., Buchanan B. G., Feigenbaum E. A., and Lederberg J. Applications of Arti cial Intelligence for organic chemistry. New York:McGraw-Hill, 1980. |
....applications like Power System Protection where remedial actions have to be taken based upon the explanation generated for a fault. On the other hand symbolic learning systems have been used successfully to solve problems such as learning which chemical bonds fragment in a mass spectrometer [10, 23], learning which chemical substructures produce mutagenic activity (a property related to carcinogenicity) 1] and learning to design nite element meshes to analyze stresses in physical structures [3] Systems like PROLOG EBG [39] construct useful intermediate features as a side e ect of ....
Lindsay R. K., Buchanan B. G., Feigenbaum E. A., and Lederberg J. Applications of Arti cial Intelligence for organic chemistry. New York:McGraw-Hill, 1980.
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