ABSTRACT
Reverse modeling can be seen as a “black box” modeling method without understanding the internal operation mechanism and the device structure of the system in details. It creates the mathematical relationship between the needed main variables and auxiliary variables by the large amounts of existing operating data in order to predict the value of the main variable. Neural networks, genetic algorithms, support vector machines are the reverse modeling methods which are widely used at present.
