Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Nicola Matarese"'
Publikováno v:
UKSim
The present paper deals with quality improvement of flat steel sheet surface coming from the continuous Hot Dip Galvanizing (HDG) process. The main idea has been to combine a Case-Based Reasoning (CBR) system, which allows to learn from previous expe
Publikováno v:
UKSim
The present paper describes an holistic CO2-monitoring system for an integrated steel-making plant. Firstly, the implementation of a centralised Database in the steelwork, supported by a dedicated server, was required as a preparatory step to collect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3e22ad61dd622f7e8a473c46219c71a
http://hdl.handle.net/11382/384843
http://hdl.handle.net/11382/384843
Data preprocessing is a main step in data mining because real data can be corrupted for different causes and high performance data mining systems require high quality data. When a database is used for training a neural network, a fuzzy system or a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09ef0eb5b48f7b32eac140d4eac3d5c2
http://hdl.handle.net/11382/365427
http://hdl.handle.net/11382/365427
Autor:
Lisa Chiappelli, Barbara Fornai, Nicola Matarese, G. F. Porzio, Marco Vannucci, Valentina Colla, A. Amato
The management of process industries is becoming in the recent years more and more challenging, given the stringent environmental policies as well as raising energy costs and the always-present drive for profit. A way to help plant decision makers in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bab65815c4b6a8b1c2947316c5e64ec
http://hdl.handle.net/11382/392449
http://hdl.handle.net/11382/392449
Autor:
Marco Pianezzola, Marco Vannucci, Siegfried Schiewe, Izaskun Alonso, Gerard Stephens, Valentina Colla, Nicola Matarese, Juan Palacios, Torsten Lamp
Publikováno v:
Advances in Computational Intelligence ISBN: 9783642215001
IWANN (1)
IWANN (1)
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 t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acb3d64ef75c1ff7332d486b826d100a
https://doi.org/10.1007/978-3-642-21501-8_32
https://doi.org/10.1007/978-3-642-21501-8_32
An extremely important part of the finishing line is the pickling process, in which oxides formed during the hot rolling stage are removed from the surface of the steel sheets. The efficiency of the pickling process is mainly dependent on the nature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e65b8a900ddab2ffe327f2285ae00c3d
http://hdl.handle.net/11382/340776
http://hdl.handle.net/11382/340776
Publikováno v:
ISDA
Distribution fitting is a widely recurring problem in different fields such as telecommunication, finance and economics, sociology, physics, etc. Standard methods often require solving difficult equations systems or investments in specialized softwar
Publikováno v:
EMS
The paper deals with the problem of the detection of rare patterns in an unbalanced dataset related to an industrial problem concerning the identification of manufactured defective metal products on the basis of product and process parameters. Within
Publikováno v:
ISDA
The paper analyses the issues behind strategies optimization of an existing automated warehouse for the steelmaking industry. Genetic Algorithms are employed to this purpose by deriving a custom chromosome structure as well as ad-hoc crossover and mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d29980c3b5f0468bc8a9a70dc457212
http://hdl.handle.net/11583/2373871
http://hdl.handle.net/11583/2373871
Publikováno v:
ISDA
When designing a neural or fuzzy system, a careful preprocessing of the database is of utmost importance in order to produce a trustable system. In function approximation applications, when a functional relationship between input and output variables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9976cc6ee30857d204c4751b90bb0c7a
http://hdl.handle.net/11382/6089
http://hdl.handle.net/11382/6089