不同人工神经网络噪声波温度提取方法的比较分析

2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI:10.1109/NEUREL.2018.8586987

Vladica Đorđević, Z. Marinković, O. Pronić-Rančić, V. Markovic

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引用次数: 0

摘要

在微波电路模拟器中，噪声波的温度是从被测晶体管噪声参数中提取出来的，通常采用耗时的优化程序。为了更有效地提取这些温度，我们开发了四种不同的基于人工神经网络的提取方法。在GaAs HEMT器件的情况下，比较了所开发的提取方法的准确性、复杂性和有效性。

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Comparative Analysis of Different ANN Methods for the Noise Wave Temperature Extraction

The noise wave temperatures are extracted from the measured transistor noise parameters usually using time-demanding optimization procedures in microwave circuit simulators. For more efficient extraction of these temperatures, we developed four different extraction methods based on artificial neural networks. The developed extraction methods are compared in terms of accuracy, complexity and effectiveness in the case of GaAs HEMT device.

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2018 14th Symposium on Neural Networks and Applications (NEUREL)

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