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RISA systematic approach to a reliable neural model for pHEMT using different numbers of training data
A systematic approach is presented to achieve a reliable neural model for microwave active devices with different numbers of training data. The method is implemented for a small-signal bias depended modeling of pHEMT with different numbers...
Reliable neural modeling of pHEMT from a smaller number of measurement data
A systematic approach is presented to achieve a reliable neural model for microwave active devices with different numbers of training data. The method is implemented for a small-signal bias depended modeling of pHEMT in tow different environments...
The Measurement of the Consumer Trust to O2O E-Commerce Based on Fuzzy Evaluation
Ubiquitous Computer-Supported Collaborative Learning: A Literature Review
Quasi-monolithic integration of high-power GaN-based HEMTs for high-frequency applications
We report on the quasi-monolithic integration of unpackaged high-power AlGaN/GaN HEMTs into a silicon basis, which finally will be the backbone and main part of an integrated circuit. III/V compound semiconductor devices fulfil special tasks which...