2024-03-28T19:49:44Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1344262024-03-13T09:52:59Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
The application of a two-step AI model to an automated pneumatic drilling process
Sedano Franco, Javier
Corchado Rodríguez, Emilio Santiago
Curiel, Leticia
Villar Flecha, José R.
Bravo Díez, Pedro M.
Computer Science
Real-world processes may be improved through a combination of artificial intelligence and identification techniques. This work presents a multidisciplinary study that identifies and applies unsupervised connectionist models in conjunction with modelling systems. This particular industrial problem is defined by a data set relayed through sensors situated on a robotic drill used in the construction of industrial storage centres. The first step entails determination of the most relevant structures in the data set with the application of the connectionist architectures. The second step combines the results of the first one to identify a model for the optimal working conditions of the drilling robot that is based on low-order models such as black box that approximate the optimal form of the model. Finally, it is shown that the most appropriate model to control these industrial tasks is the Box-Jenkins algorithm, which calculates the function of a linear system from its input and output samples.
2017-09-05T11:02:08Z
2017-09-05T11:02:08Z
2009
info:eu-repo/semantics/article
International Journal of Computer Mathematics. Volumen 86 (10-11), pp. 1769-1777. Informa UK Limited.
0020-7160 (Print) / 1029-0265 (Online)
http://hdl.handle.net/10366/134426
en
Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
application/pdf
Informa UK Limited
https://gredos.usal.es/bitstream/10366/134426/5/corchadoe.pdf.jpg
Hispana
TEXT
https://creativecommons.org/licenses/by-nc-nd/3.0/
Gredos. Repositorio Documental de la Universidad de Salamanca
http://hdl.handle.net/10366/134426