Temperature-dependent models of low-nois
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Zlatica D. MarinkoviΔ; Vera V. MarkoviΔ
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Article
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2005
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John Wiley and Sons
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English
β 545 KB
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 tran