Modeling Industrial Processes with Hybrid-Neural Intelligent Systems (Intelligent advisory system for a Linz-Donawitz steel converter)

Intelligent Systems Research Group

Publications:

• Pataki, B., Horváth, G., Strausz, Gy., Talata, Zs. "Inverse Neural Modeling of a Linz-Donawitz Steel Converter" e & i Elektrotechnik und Informationstechnik, Vol. 117. No. 1. 2000. pp.
• Strausz, Gy., G. Horváth, B. Pataki : "Experiences from the results of neural modelling of an industrial process" Proc. of Engineering Application of Neural Networks, EANN'98, Gibraltar 1988. pp. 213-220
• Strausz, Gy., G. Horváth, B. Pataki : "Effects of database characteristics on the neural modeling of an industrial process" Proc. of the International ICSC/IFAC Symposium on Neural Computation / NC’98, Sept. 1998, Vienna pp. 834-840.
• Horváth, G., Pataki, B. Strausz, T.: "Neural Modeling of a Linz-Donawitz Steel Converter: Difficulties and Solutions" Proc. of the EUFIT'98, 6th European Congress on Intelligent Techniques and Soft Computing. Aachen, Germany. 1998. Sept. pp.1516-1521
• Horváth, G. Pataki, B. Strausz, Gy.: "Black box modeling of a complex industrial process", Proc. of the 1999 IEEE Conference and Workshop on Engineering of Computer Based Systems, Nashville, TN, USA. 1999. pp. 60-66
• Pataki B., Gy. Strausz, G. Horváth, "Hibrid-Neural Modelling of an LD Converter", Proc. of Symposium on Intelligent Systems in Control and Measurement, Budapest, Hungary, October 9-13, 1999, pp.74-79.
• Horváth, G., Pataki, B., Strausz, Gy., Polkovnyikov, A., Lukácsi, I., Máriás, J.:"Modeling of an LD Converter" Hungarian Conference and Exhibition on Material Science, Testing and Informatics, Balatonfüred, 1999. pp. 110-111.