Patent ID: 7882049

Claim:
A method for controlling a process with spatially dependent conditions for producing a product with spatially dependent properties, comprising: synthesizing, via a machine learning method, one or more process conditions at each of one or more spatial positions in a production line of a process or synthesizing one or more product properties at each of one or more spatial positions on the product to generate input data, wherein synthesizing comprises generating additional input data using nonlinear models based on historical spatial relationship data; providing the input data to a process control system, wherein the input data comprise a plurality of input data sets, each input data set comprising values for a set of one or more input parameters; and generating output data in accordance with the input data, wherein the output data comprise a plurality of output data sets, each output data set comprising values for a set of one or more output parameters, each output parameter comprising a predicted process condition or product property, wherein the output data preserve spatial relationships of the output data corresponding to the spatial relationships of the input data, and wherein the output data are useable by the process control system or an operator to control the process.