随着这些改变，这两种不同的拓扑已经以近乎透明的方式被引入了。
With these changes, the two different topologies have been added in a mostly transparent fashion.
MQ拓扑对注册中心命名空间的模仿越接近，垂直通过各层时的名称解析就越透明和无冲突。
The closer the MQ topology models the registry namespace, the more transparent and frictionless name resolution becomes as it moves vertically through the layers.
径向基函数神经网络是一种拓扑结构简单、学习过程透明的神经网络模型。
Radial Basis Function Neural Network is a kind of Neural Networks which have simple topological structure and clear learn procedure.
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