TAN Yi Ji

Appointment: Research Fellow

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421 to 430 of 473 Results

Figure_9.m Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 5.8 KB - MD5: df47dc484511ceaa67b7191d2de09554 Matlab script for generating Figure 9.
Input intensity (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.2 KB - MD5: b9d320807261fb038c16423d4ede5229 Required data for Figure 5 to 7.
Intensity error (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.5 KB - MD5: cfcf89bfb2d5379beea8af08e49c6ee8 Required data for Figure 5 to 7.
Intensity (linear).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 117.6 KB - MD5: 89c8b03aa953e9ec1e901f0c5fb33a8e Required data for Figure 5 to 7.
Intensity (maximum).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 117.6 KB - MD5: d94f8246522442054dda7e5f5b71e38a Required data for Figure 5 to 7.
Intensity (single).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 113.8 KB - MD5: 9ec091a44d0d13174561ac919d7b351b Required data for Figure 5 to 7.
INTENSITY.txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 162.7 KB - MD5: f02f2e16763e91e8e8e92a7d541e5e8c Required data for Figure 9.
modelGradients.m Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Source Code - 879 B - MD5: 5d57f3fd09195e3776794b34d02a203b Matlab script: Objective function for training neural network
Output Intensity (maximum).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.3 KB - MD5: 43150630eeb1bd55ae6896ef57121f11 Required data for Figure 5 to 7.
Output Intensity (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.5 KB - MD5: d9af090601706a68b92990d310aab1bb Required data for Figure 5 to 7.

Figure_9.m

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

Plain Text - 5.8 KB -

Matlab script for generating Figure 9.

Input intensity (random).mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 149.2 KB -

Required data for Figure 5 to 7.

Intensity error (random).mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 149.5 KB -

Required data for Figure 5 to 7.