IMDD中的全连接神经网络均衡器整理
1，SOA pattern effect mitigation by neural network based pre-equalizer for 50G PON107 48 48 1 （regression） PAM4, learning rate: 0.0001, training symbols:5000, test symbols:50002.Machine Learning for 10
1，SOA pattern effect mitigation by neural network based pre-equalizer for 50G PON
107 48 48 1 （regression） PAM4, learning rate: 0.0001, training symbols:5000, test symbols:5000
2. Machine Learning for 100 Gb/s/λ Passive Optical Network
51 128 128 8 （classification） PAM8, learning rate: -, training symbols:100000, test symbols:90000 cross validation:10000, dropout rate:0.2
3. Training data generation and validation for a neural network-based equalizer
simulation:201 128 128 2 NRZ
experiment:201 128 128 4 PAM4 training symbols:100000, test symbols:100000
4.
腾讯云面向开发者汇聚海量精品云计算使用和开发经验，营造开放的云计算技术生态圈。
更多推荐
0
0- 0
已为社区贡献3条内容
所有评论(0)