Instead, we look to the composite structure notions of the UML 2.0 specification, which provides the ability to denote the internal organization of a classifier using "parts" and "connectors."

取而代之，我们指望uml 2.0规范的复合结构概念，其提供了表示使用“部件”和“连接器”的分类器的内部结构功能。

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SOM NN is the most effective and advanced one as classifier for littoral oil-spill in that SOM algorithm can extract the internal features of parameter by self-organizing.

实验表明，SOM网络模型算法自身的特点决定了它在多光谱数据智能分析及海面溢油识别方面良好适用性，成为解决此类问题最好的算法。

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