A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks-Reference-Cited by-同舟云学术

A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks

Published:2015-06-24 Issue:6 Volume:27 Page:1577-1592
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Arriandiaga A.,Portillo E.,Sánchez J. A.,Cabanes I.,Pombo I.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-015-1957-1.pdf

Reference33 articles.

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3. Fuh KH, Wang SB (1997) Force modeling and forecasting in creep feed grinding using improved BP neural network. Int J Mach Tools Manuf 37(8):1167–1178

4. Yang Q, Jin J (2010) Study on machining prediction in plane grinding based on artificial neural network. In: 2010 international conference on intelligent systems and knowledge engineering (ISKE), pp 442–444

5. Sedighi M, Afshari D (2010) Creep feed grinding optimization by an integrated GA-NN system. J Intell Manuf 21:657–663

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