Deep reservoir computing meets 5G MIMO-OFDM systems in symbol detection

Z Zhou, L Liu, V Chandrasekhar, J Zhang… - Proceedings of the AAAI …, 2020 - aaai.org
Conventional reservoir computing (RC) is a shallow recurrent neural network (RNN) with
fixed high dimensional hidden dynamics and one trainable output layer. It has the nice …
被引用次数：37 相关文章
[PDF] archive.org

[PDF][PDF] Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection

Z Zhou, L Liu, V Chandrasekhar, J Zhang, Y Yi - 2020 - scholar.archive.org
Conventional reservoir computing (RC) is a shallow recurrent neural network (RNN) with
fixed high dimensional hidden dynamics and one trainable output layer. It has the nice …
[PDF] aaai.org

[PDF][PDF] Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection

Z Zhou, L Liu, V Chandrasekhar, J Zhang, Y Yi - 2020 - cdn.aaai.org
Conventional reservoir computing (RC) is a shallow recurrent neural network (RNN) with
fixed high dimensional hidden dynamics and one trainable output layer. It has the nice …

Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection

Z Zhou, L Liu, V Chandrasekhar, J Zhang… - Proceedings of the AAAI …, 2020 - ojs.aaai.org
Conventional reservoir computing (RC) is a shallow recurrent neural network (RNN) with
fixed high dimensional hidden dynamics and one trainable output layer. It has the nice …