RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.

R BF神经网络以其计算量小，学习速度快，不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。

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In this article, I introduce the high-level activities of identification, specification and realization, and some artifacts of service-oriented modeling.

在本文中，我介绍了鉴定、指定和实现的高级别的行为和一些基于服务建模的构件。

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First, we briefly explained what service modeling for service identification and service specification is, who typically does it (and why), and how it fits into the overall process.

首先，我们简单解释了用于服务识别和服务指定的服务建模、通常选择使用它的用户(及原因)、它如何适应整体流程。

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