...
机译:启用流量预测的双奖励价值迭代网络进行路线规划
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Baidu, IVBU, Beijing 100085, Peoples R China;
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China;
Route planning; traffic prediction; double rewards; value iteration network;
机译:无需流量预测的WDM光路径网络多周期规划的增强型最小干扰路由算法
机译:WDM LightPath网络多时期规划的增强最小干扰路由算法,没有流量预测
机译:支持SDN的ip /光网络的两种机器学习用例:流量矩阵预测和光路性能预测[已邀请]
机译:城市道路网中基于交通预测的路线规划
机译:使用启用大数据的深度学习进行交通速度预测
机译:子网络迭代分析可以重建大规模遗传网络
机译:启用流量整理和多路径路由的可感知损害的弹性光网络