Adaptable neural network model for cross directional control

H. T. Su, T. Samad, S. Bedros

Research output: Contribution to specialist publicationArticle

Abstract

A two-stage neural network model has been developed for cross-direction control of the papermaking process. The Neuro-CD model has been tested on a simulator with promising results. The basis function is a parametric single-output function called the CD-Neuron. A CD-Neuron was built to represent the quality response of each actuator. The output is the actual quality value that results from a change in the actuator setting.

Original languageEnglish (US)
Volume19
No7
Specialist publicationProcess Control News (for the Pulp and Paper Industries)
StatePublished - Dec 1 1999

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