Regression and ANN Models for Electronic Circuit Design
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 configuratio...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/7379512 |
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| _version_ | 1850174388982251520 |
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| author | M. I. Dieste-Velasco M. Diez-Mediavilla C. Alonso-Tristán |
| author_facet | M. I. Dieste-Velasco M. Diez-Mediavilla C. Alonso-Tristán |
| author_sort | M. I. Dieste-Velasco |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c8a13351a7164aa097ebff2fb75c6106 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-c8a13351a7164aa097ebff2fb75c61062025-08-20T02:19:40ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/73795127379512Regression and ANN Models for Electronic Circuit DesignM. I. Dieste-Velasco0M. Diez-Mediavilla1C. Alonso-Tristán2Electromechanical Engineering Department, University of Burgos, Burgos, SpainElectromechanical Engineering Department, University of Burgos, Burgos, SpainElectromechanical Engineering Department, University of Burgos, Burgos, SpainThis 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.http://dx.doi.org/10.1155/2018/7379512 |
| spellingShingle | M. I. Dieste-Velasco M. Diez-Mediavilla C. Alonso-Tristán Regression and ANN Models for Electronic Circuit Design Complexity |
| title | Regression and ANN Models for Electronic Circuit Design |
| title_full | Regression and ANN Models for Electronic Circuit Design |
| title_fullStr | Regression and ANN Models for Electronic Circuit Design |
| title_full_unstemmed | Regression and ANN Models for Electronic Circuit Design |
| title_short | Regression and ANN Models for Electronic Circuit Design |
| title_sort | regression and ann models for electronic circuit design |
| url | http://dx.doi.org/10.1155/2018/7379512 |
| work_keys_str_mv | AT midiestevelasco regressionandannmodelsforelectroniccircuitdesign AT mdiezmediavilla regressionandannmodelsforelectroniccircuitdesign AT calonsotristan regressionandannmodelsforelectroniccircuitdesign |