2026-06-30T04:08:38Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/85622024-02-03T01:05:40Zcom_10259_6214com_10259_5086com_10259_2604com_10259_3847col_10259_6215col_10259_3848

Sedano, Javier Corchado, Emilio Curiel Herrera, Leticia Elena Villar, José Ramón Bravo Díez, Pedro Miguel 2024-02-02T12:50:28Z 2024-02-02T12:50:28Z 2009 0020-7160 http://hdl.handle.net/10259/8562 10.1080/00207160802676612 1029-0265 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. This research has been partially supported by project BU006A08 of the Junta de Castilla y León. application/pdf eng Taylor & Francis International Journal of Computer Mathematics. 2009, V. 86, n. 10-11, p. 1769-1777 https://doi.org/10.1080/00207160802676612 Atribución-NoComercial 4.0 Internacional http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess Unsupervised learning Exploratory projection pursuit Black-box models Informática Matemáticas Computer science Mathematics The application of a two-step AI model to an automated pneumatic drilling process info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion International Journal of Computer Mathematics 86 10-11 1769 1777