GitHub / rajathpi / Scattering-parameter-parameterization
This project utilizes TensorFlow and Keras to apply neural networks (Basic, LSTM, and GRU) to predict input parameters for a human head-antenna system using scattering parameters. The GRU model consistently outperforms others, showcasing its potential for accurate predictions
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PURL: pkg:github/rajathpi/Scattering-parameter-parameterization
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 3.03 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: antenna, gru, keras, lstm, microwave, s-parameter-fitting, s-parameters, scattering, scattering-parameters, tensoflow