| dc.contributor.author | Bandler, John W. | |
| dc.contributor.author | Rayas-Sánchez, José E. | |
| dc.contributor.author | Zhang, Qi J. | |
| dc.date.accessioned | 2014-08-25T18:58:08Z | |
| dc.date.available | 2014-08-25T18:58:08Z | |
| dc.date.issued | 1999-08 | |
| dc.identifier.citation | Bandler, J.W; Rayas-Sánchez, J.E. and Zhang, Q.J. (1999) “Neural modeling and space mapping: two approaches to circuit design,” in XXVI URSI General Assembly, Toronto, ON, Aug., p. 246. | es |
| dc.identifier.uri | http://hdl.handle.net/11117/1410 | |
| dc.description | The drive in the microwave industry for manufacturability-driven design and time-to-market demands powerful and efficient computer-aided design tools. The need for statistical analysis and yield optimization coupled with the desire to use accurate physics-based and EM-based models leads to tasks that are computationally intensive using conventional approaches. We present two recent advances in the microwave CAD area, Artificial Neural Network (ANN) based modeling and Space Mapping (SM) based modeling for fast and accurate design of microwave components and circuits. | es |
| dc.description.sponsorship | Consejo Nacional de Ciencia y Tecnología | es |
| dc.description.sponsorship | Carleton University | es |
| dc.language.iso | eng | es |
| dc.publisher | XXVI URSI General Assembly | es |
| dc.relation.ispartofseries | XXVI URSI General Assembly; | |
| dc.rights.uri | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdf | es |
| dc.subject | Microwave Modeling | es |
| dc.subject | Neural Networks | es |
| dc.subject | Space Mapping | es |
| dc.subject | CAD | es |
| dc.title | Neural modeling and space mapping: two approaches to circuit design | es |
| dc.type | info:eu-repo/semantics/conferencePaper | es |
| rei.revisor | XXVI URSI General Assembly | |
| rei.peerreviewed | Yes | es |
