2026-05-30T09:38:12Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/48722024-05-14T11:31:28Zcom_10259_4393com_10259_5086com_10259_2604col_10259_4394
Repositorio Institucional de la Universidad de Burgos
author
Dieste Velasco, Mª Isabel
author
Diez Mediavilla, Montserrat
author
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.
eng
Attribution 4.0 International
Regression and ANN models for electronic circuit design
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/4872/1/Dieste-Complexity_2018.pdf
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Dieste-Complexity_2018.pdf
URL
https://riubu.ubu.es/bitstream/10259/4872/6/Dieste-Complexity_2018.pdf.txt
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Dieste-Complexity_2018.pdf.txt