2026-05-30T09:56:14Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/48722024-05-14T11:31:28Zcom_10259_4393com_10259_5086com_10259_2604col_10259_4394

Dieste Velasco, Mª Isabel Diez Mediavilla, Montserrat Alonso Tristán, Cristina 2018-07-30T10:14:44Z 2018-07-30T10:14:44Z 2018 1076-2787 http://hdl.handle.net/10259/4872 10.1155/2018/7379512 This paper presents a methodology to design and to predict the behaviour of electronic circuits, which combines artificial neural networks and design of experiments. This methodology can be used to model output variables in electronic circuits either with similar features to the circuit configuration that is analysed in this study or with more complex configurations in order to improve the process of electronic circuit design. application/pdf eng Hindawi Publishing Corporation Complexity. 2018, V. 2018, art. ID 7379512 https://doi.org/10.1155/2018/7379512 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Electrotecnia Electrical engineering Regression and ANN models for electronic circuit design info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion