Applications of neural networks for RF design:
Neural Networks are information processing systems inspired by the ability of human brain to learn from observations and to generalize by abstraction. It has been used in diverse fields such as pattern recognition, speech processing, control, medical applications and more. In recent years, it has em...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch Video |
| Sprache: | English |
| Veröffentlicht: |
United States
IEEE
2007
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| Schlagworte: | |
| Online-Zugang: | FHN01 TUM01 |
| Zusammenfassung: | Neural Networks are information processing systems inspired by the ability of human brain to learn from observations and to generalize by abstraction. It has been used in diverse fields such as pattern recognition, speech processing, control, medical applications and more. In recent years, it has emerged as an attractive vehicle in the RF/microwave CAD community to address the challenges in high-frequency electronic modeling and design. Neural networks can learn and generalize from data allowing model development even when component formulas are unavailable. Neural network models are universal approximators allowing re-use of the same modeling technology for both linear and nonlinear problems and at both device and circuit levels |
| Beschreibung: | Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 11, 2020) |
| Beschreibung: | 1 Online-Resource (1 Videodatei, 60 Minuten) |
| ISBN: | 9780780396739 |
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Datensatz im Suchindex
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| author | Zhang, Qi-jun |
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| dewey-search | 621.38411 |
| dewey-sort | 3621.38411 |
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| indexdate | 2024-07-10T09:13:11Z |
| institution | BVB |
| isbn | 9780780396739 |
| language | English |
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| spelling | Zhang, Qi-jun Verfasser aut Applications of neural networks for RF design Qi-jun Zhang and K.C. Gupta United States IEEE 2007 1 Online-Resource (1 Videodatei, 60 Minuten) tdi rdacontent c rdamedia cr rdacarrier Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 11, 2020) Neural Networks are information processing systems inspired by the ability of human brain to learn from observations and to generalize by abstraction. It has been used in diverse fields such as pattern recognition, speech processing, control, medical applications and more. In recent years, it has emerged as an attractive vehicle in the RF/microwave CAD community to address the challenges in high-frequency electronic modeling and design. Neural networks can learn and generalize from data allowing model development even when component formulas are unavailable. Neural network models are universal approximators allowing re-use of the same modeling technology for both linear and nonlinear problems and at both device and circuit levels Radio frequency Radio waves (DE-588)4017102-4 Film gnd-content Gupta, K. C. Sonstige oth |
| spellingShingle | Zhang, Qi-jun Applications of neural networks for RF design Radio frequency Radio waves |
| subject_GND | (DE-588)4017102-4 |
| title | Applications of neural networks for RF design |
| title_auth | Applications of neural networks for RF design |
| title_exact_search | Applications of neural networks for RF design |
| title_exact_search_txtP | Applications of neural networks for RF design |
| title_full | Applications of neural networks for RF design Qi-jun Zhang and K.C. Gupta |
| title_fullStr | Applications of neural networks for RF design Qi-jun Zhang and K.C. Gupta |
| title_full_unstemmed | Applications of neural networks for RF design Qi-jun Zhang and K.C. Gupta |
| title_short | Applications of neural networks for RF design |
| title_sort | applications of neural networks for rf design |
| topic | Radio frequency Radio waves |
| topic_facet | Radio frequency Radio waves Film |
| work_keys_str_mv | AT zhangqijun applicationsofneuralnetworksforrfdesign AT guptakc applicationsofneuralnetworksforrfdesign |