该系统对城市大气环境污染预测、控制、治理等具有重要的实际意义。

The system has much practical significance in prediction, controlling and tackling the urban pollution problem.

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环境污染预测对污染进行提前预警，防患于未然，从而能够尽早地进行预防和治理。

Environmental pollution predictions give early pollution warnings, and nip the pollution in the bud, so the precaution and governing can get in progress as early as possible.

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传统支持向量机基于批量训练方法，无法适应环境污染预测中的海量数据与实时性要求。

Traditional Support Vector Machine (SVM), which based on batch training, can't satisfy the real-time requirement of environmental pollution prediction with large scale data.

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