Title :
ANN Flexible Forecasting for the Adaptive Monitoring of a Multi-Tube Reactor
Author :
Nastac, Iulian ; Cristea, Paul
Author_Institution :
Polytech. Univ. of Bucharest, Bucharest
Abstract :
The paper presents a flexible artificial neural network (ANN) model, in order to support modifications of a complex input-output function that describes the catalyst monitoring process of a multi-tube reactor. The goal is to obtain a good accuracy of the predicted data by using an optimal ANN architecture and well-suited delay vectors. The research targets the implementation of an adaptive system, which can be periodically retrained, in order to continuously learn the latest evolution of the catalyst process.
Keywords :
catalysts; chemical engineering computing; chemical reactors; neural nets; process monitoring; ANN flexible forecasting; adaptive catalyst monitoring process; artificial neural network; complex input-output function; delay vectors; multi tube reactor; Adaptive systems; Artificial neural networks; Delay; Electronic mail; Feeds; Fluid flow measurement; Inductors; Monitoring; Neural networks; Temperature; adaptive forecasting; delay vector; neural network; retraining technique; scaling factor;
Conference_Titel :
Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
Conference_Location :
Maribor
Print_ISBN :
978-961-248-029-5
Electronic_ISBN :
978-961-248-029-5
DOI :
10.1109/IWSSIP.2007.4381186
