Automated rule based model generation for uncertain complex dynamic systems

An attempt is made to model a dynamic system by a set of production rules. These rules are automatically induced from a set of training data by the ID3 algorithm of J.R. Quinlan (1983, 1986). The effects of data quantization and number of attributes on the model performance are discussed. The algorithm is applied to a simulated linear system and to real gas furnace data.<
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