For the better description of the complicated network environment in the real world, this paper designs a kind of cross-layer road network structure using object-oriented method.
为了更好地描述现实世界中复杂的网络环境,采用面向对象的方法设计了跨图层的道路网络结构。
FCHT compute the self-adapt trigger value using the information. We join the handovers in application layer and in network layer closely by cross-layer method also.
FCHT利用这些信息计算出触发切换的自适应阀值,通过跨层设计方法使网络层和应用层的切换相衔接。
Objective To identify typical pathological images by using the neural network based on cross-entropy method.
目的探讨利用基于交叉熵的神经网络识别典型病理图像。
应用推荐