Method for controlling a product production process

摘要

A method for controlling a production process involving selection of process variables affecting product characteristics and using genetic algorithms to modify a set of seed neural networks based upon the process variables to an create an optimal neural network model. A commercial statistical software package may be used to select the process variables. Real-time process control data are fed into the optimal neural network model and used to calculate a projected product characteristic. A production control operator uses the list of process variables and knowledge of associated process control settings to control the production process.