Vision of neural networks and fuzzy logic for prediction and optimization of manufacturing processes

James D. Keeler

doi:10.1117/12.140022

16 September 1992 Vision of neural networks and fuzzy logic for prediction and optimization of manufacturing processes

James D. Keeler

Proceedings Volume 1709, Applications of Artificial Neural Networks III; (1992) https://doi.org/10.1117/12.140022
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

The advent of low cost, reliable sensor technology and ongoing dramatic improvements in computer price/performance have transformed the average manufacturing facility into a data- rich environment with millions of bytes of production information stored daily. This production data contains valuable information about the process that can be used by a neural network to model, control, and optimize the plant dynamics. This paper presents a perspective on the use of neural networks and fuzzy logic technology and outlines the methods that have been used to improve process performance in several applications in chemical/petrochemical production facilities.

Citation Download Citation

James D. Keeler "Vision of neural networks and fuzzy logic for prediction and optimization of manufacturing processes", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.140022

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