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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Salami, Momoh-Jimoh E. | - |
dc.contributor.author | Aibinu, A. M. | - |
dc.date.accessioned | 2019-08-14T15:08:47Z | - |
dc.date.available | 2019-08-14T15:08:47Z | - |
dc.date.issued | 2013-04-07 | - |
dc.identifier.citation | Aibinu, A. M., & Salami, M. J. E. (2013, April). Application of intelligent technique for development of Colpitts oscillator. In 2013 IEEE Business Engineering and Industrial Applications Colloquium (BEIAC) (pp. 617-622). IEEE. | en_US |
dc.identifier.uri | http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/494 | - |
dc.description.abstract | In this paper, new method of Colpitts oscillator designing through combination of Genetic Algorithm and Artificial Neural Network (ANN) has been suggested. The Thevenin's resistors for the common base Colpitts oscillator are optimized through application of GA and ANN. The developed common base Colpitts oscillator has shortest transient time response and stable Direct Current (DC) stability in the long term operation. Involvement of GA and ANN successfully optimize between transient time response and steady state response of common base oscillator. Application of these two artificial intelligent techniques assist faster selection of optimizes components values such as resistance values during circuit development rather than conventional method which used intuition techniques to develop the circuit. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Colpitts oscillator | en_US |
dc.subject | Genetic Algorithm | en_US |
dc.subject | Artificial Neural Network | en_US |
dc.subject | Intelligent Technique | en_US |
dc.title | Application of intelligent technique for development of Colpitts oscillator | en_US |
dc.type | Article | en_US |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
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Application of intelligent technique for development of Colpitts oscillator.pdf | Article full-text | 316.87 kB | Adobe PDF | View/Open |
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