Zusammenfassung
Das nachfolgende Kapitel bietet eine Palette von Anwendungsbeispielen Neuronaler Netze in der Überwachung und Steuerung von industriellen Prozessen.
“The real promise of neural networks hes in the realms of nonlinear control”
[War92], S. 35
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Literatur des Kapitels
Azzamulasar, J. R. Mcdonald, William Rattray: ‘Experience with Artificial Neural Network Models for Short-Term Load Forecasting in Electrical Power Systems: A Proposed Application for Expert Systems’;
Layle A. Branagan, Phillip D. Wasserman: ‘Introductory Use of Probabilistic Neural Networks for Spike Detection from an On-Line Vibration Diagnostic System’;
Stefan Gehlen, Michael Hormel, Jörg Kopecz: „Einsatz Neuronaler Netze zur Kontrolle komplexer industrieller Prozesse“;
A. Ikonomopoulos, L. H. Tsoukalas, R. E. Uhrig, E. Pilarinu: ‘An Application of Neural Network Generated Fuzzy Reasoning for Complex System Monitoring’;
K. Jung, K. Lee: ‘A Decision Support System Using Neural Networks in a Glass Furnace Factory’;
N. Kashiwagi, T. Tobi: ‘Heating and Cooling Load Prediction Using a Neural Network System’;
Z. J. Liu, F. E. Villascca, F. Renovich JR.: ‘Neural Networks for Generation Scheduling in Power Systems’;
Anna Luskiewisz-Burczak, Robert E. Uhrig: ‘Probabilistic Neural Networks for Vibration Data Analysis’;
Larry R. Medsker: ‘Hybrid Neural Networks and Expert Systems’;
Najwa S. Merchawi, Soundar R. T. Kumara: ‘Neural networks in continuous process diagnostics’;
A. J. Newman: ‘Neural Observer for the Hot Isostatic Pressing Nonlinear System’;
T. Onoda: ‘Next Day Peak Load Forecasting Using an Artificial Neural Network’;
G. F. Page, J. B. Gomm, D. Williams: ‘Application of Neural Networks to Modelling and Control’;
F. Panetsos, A. G. Garcia: ‘An Application of Neural Networks m the Control of Chemical Reactors’;
W. E. Stub, R. B. Staib: ‘The Intelligent Arc Furnace Controller — A Neural Network Electrode Position Optimization System for the Electric Arc Furnace’;
Takehiko Tanaka, Hideichi Endo, Noriyunki Kamada, Hidetaka Komi- Nami: ‘Trouble Forecasting System by Multi-Neural-Network on Continuous Casting Process of Steel Production’;
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© 1997 Betriebswirtschaftlicher Verlag Dr. Th. Gabler GmbH, Wiesbaden
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Heuer, J. (1997). Die neuronal-orientierte Bearbeitungsstation in der Prozeßfertigung. In: Neuronale Netze in der Industrie. Deutscher Universitätsverlag. https://doi.org/10.1007/978-3-322-93384-3_11
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DOI: https://doi.org/10.1007/978-3-322-93384-3_11
Publisher Name: Deutscher Universitätsverlag
Print ISBN: 978-3-8244-6386-2
Online ISBN: 978-3-322-93384-3
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