|No.||Contents||Data type||Location||Date of resistration||Registrant|
|6||Sample program for propagation loss prediction by fully connected neural network||–||–||Apr. 19th 2021||H.Nakabayashi (Chiba Inst. Tech.)|
This sample program provides propagation loss estimation by a fully coupled neural network, which was presented in AWS-10 on “Application of Machine Learning to Radio Propagation Field” hosted by the IEICE AP-Technical Committee held on February 24, 2021 (Wednesday). Some new comments (*1) have been added to the source code published in the workshop materials to improve the readability. TensorFlow is used in the source code as a software library.
*1: the comments are provided only by Japanese at present.
Conditions of data use
Use freely. The copyright of the program belongs to the author.
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