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A new calibration method is investigated for conventional VNA calibration. It is based on teaching the error terms of VNA to a Neural Network (NN). A well-known two ports calibration standard is adequate VNA calibration for this method. Experimental results are presented and compared to data obtained with traditional techniques.
In this paper, Random Neural Network (RNN) approach has been applied to the distributed database design of technology-corridor prototype project for Avcýlar Campus of Istanbul University in Turkey. This project includes university, industry and government collaboration. Here, we need a distributed environment for designing sub databases and fragmenting them(More)
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