@inproceedings{0b663659bd084b22a6b1ff607441d73d,
title = "Detection of transients in steel casting through standard and AI-based techniques",
abstract = "The detection of transients in the practice of continuous casting within a steel-making industry is a key task for the prediction of final product properties but currently a direct observation of this phenomenon is not available. For this reason in this paper several standard and soft-computing based methods for the detection of transients from plant data will be tested and compared. From the obtained results it emerges that the use of a fuzzy inference system based on experts knowledge achieves very satisfactory results correctly identifying most of the transient events present in the databases provided by different companies.",
keywords = "industrial problem, neuro-fuzzy systems, transient detection",
author = "Valentina Colla and Marco Vannucci and Nicola Matarese and Gerard Stephens and Marco Pianezzola and Izaskun Alonso and Torsten Lamp and Juan Palacios and Siegfried Schiewe",
year = "2011",
doi = "10.1007/978-3-642-21501-8\_32",
language = "English",
isbn = "9783642215001",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "256--264",
booktitle = "Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings",
edition = "PART 1",
note = "11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 ; Conference date: 08-06-2011 Through 10-06-2011",
}