Data-based process model construction method with provision of partial models dependent on supplied data sets in forst step and combining of their outputs by defuzzifying device in second step

摘要

The process model construction method has data sets each containing a number of measured process parameter values (x1,..xn) and a process output value (y) used in a first step for generation of corresponding partial models (3) receiving the measured process parameter values and the process output value and providing an output representing the relationship between them. The outputs of the partial models are fed to a defuzzifying device (2) in a second step for generating output values for the overall model. An Independent claim for a model used for construction of a data-based process model is also included.