Improving the estimation of mean flow stress within hot rolling of steel by means of different artificial intelligence techniques

Author:

Vannucci Marco,Colla Valentina,Dimatteo Antonella

Publisher

Elsevier BV

Subject

General Medicine

Reference21 articles.

1. Neural network based prediction of roughing and finishing times in a hot strip mill;Colla;Revista de Metalurgia (Madrid),2010

2. A neural networks-based model relating properties of the as cast-semi and rolling parameters with rolled product properties for plate rolled pipeline steels Rvue de;Colla;Metallurgie,2012

3. V. Colla, N. Matarese, L.M. Reyneri. A method to point out anomalous input-output patterns in a database for training neuro-fuzzy system with a supervised learning rule ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications, art. no. 5364022, pp. 1307–1311.

4. V. Colla, G. Bioli, M. Vannucci. Model parameters optimisation for an industrial application: A comparison between traditional approaches and genetic algorithms Proceedings - EMS 2008, European Modelling Symposium, 2008, Pages 34–39

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