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Temperature-dependent models of low-noise microwave transistors based on neural networks

✍ Scribed by Zlatica D. Marinković; Vera V. Marković

Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
545 KB
Volume
15
Category
Article
ISSN
1096-4290

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✦ Synopsis

Neural networks are proposed for efficient temperature-dependent modeling of small-signal and noise performances of low-noise microwave transistors over a wide temperature range. The proposed models can be based either on neural networks only or on a combination of neural networks and empirical transistor models.

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