Apparatus and method for dynamic reconfiguration of process parameter

Abstract

The apparatus employs adaptive machine learning for dynamic reconfiguration of process parameter. It consists of a processor and memory. Initially, it detects a dependency factor as a function of a plurality of operational factors of a process. Then it determines a primary factor and at least a secondary factor as a function of the dependency factor. Using at least a processor, modify a processor, the primary factor as a function of a specified modification protocol. Further, it eliminates the at least a secondary factor. Last, using the at least a processor, it generates using the at least a processor, a modification set of the operational factors.

Dependencies are inferred from the claim text.