Database
| 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.) |
Overview
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.
Click hear to access data(To access data, you need passcode. Please contact to the committee secretary. The contact mail address is shown in the top-page of the database.)
