Title :
Qualitative models as indices for memory-based prediction
Abstract :
Many industrial processes are not understood enough and are too complex for inductive learning methods. The author´s technique combines qualitative and memory-based reasoning to model and predict such processes. He has applied this technique to coffee roasting and decaffeination
Keywords :
common-sense reasoning; food processing industry; prediction theory; production engineering computing; coffee roasting; decaffeination; inductive learning; industrial processes; memory-based prediction; memory-based reasoning; qualitative models; qualitative reasoning; Airplanes; Artificial intelligence; Buildings; Combustion; Computational modeling; Humans; Laboratories; Neural networks; Predictive models; Statistical analysis;
Journal_Title :
IEEE Expert
