<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-30T09:33:27Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/4872" metadataPrefix="mods">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/4872</identifier><datestamp>2024-05-14T11:31:28Z</datestamp><setSpec>com_10259_4393</setSpec><setSpec>com_10259_5086</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_4394</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Dieste Velasco, Mª Isabel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Diez Mediavilla, Montserrat</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Alonso Tristán, Cristina</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2018-07-30T10:14:44Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2018-07-30T10:14:44Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2018</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="issn">1076-2787</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10259/4872</mods:identifier>
<mods:identifier type="doi">10.1155/2018/7379512</mods:identifier>
<mods:abstract>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.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution 4.0 International</mods:accessCondition>
<mods:titleInfo>
<mods:title>Regression and ANN models for electronic circuit design</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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