@inproceedings{9332ae93f92b4a88a3020e47595296f6,
title = "Identification of liquid state of scrap in electric arc furnace by the use of computational intelligence methods",
abstract = "A constant aspiration to optimize electric arc steelmaking process causes an increase of the use of advanced analytical methods for the process support. Optimization of the production processes lead to real benefits, which are, for example, lower costs of production. More often computational intelligence methods are used for this purpose. In this paper authors present three methods used for identification of liquid state of scrap in electric arc furnace using analysis of signals of the current of furnace electrodes.",
keywords = "classification, electric arc furnace, industrial application, noise estimation, process modeling, signal processing",
author = "Marcin Blachnik and Tadeusz Wieczorek and Krystian M{\c a}czka and Grzegorz Kope{\'c}",
year = "2010",
doi = "10.1007/978-3-642-17534-3\_86",
language = "English",
isbn = "3642175333",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "700--707",
booktitle = "Neural Information Processing",
edition = "PART 2",
note = "17th International Conference on Neural Information Processing, ICONIP 2010 ; Conference date: 22-11-2010 Through 25-11-2010",
}