RAN

  资源分配网络的主要思想是当神经网络在学习过程中发现“未建模”的样本时，就分配新的计算节点。(The main idea of ​ ​ the network resource allocation is when the neural networks found in the learning process " is not modeling" of the samples, to assign a new compute nodes.)