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Haze is a weather phenomenon, which is very harmful to the environmental protection or the public health. Therefore, it is necessary to forecast upcoming haze weather so that the protective measures can be taken to minimize the haze's negative impact. A hybrid neural networks model is proposed in this paper for the forecast of the haze level, which consists of two individual neural networks - one...
Currently, the measurement of the visibility mainly depends on the human eyes, so that the objectivity is relatively poor. In general, the higher the visibility is, the greater the measurement error is. On the other hand, in practice, as opposed to high visibility situations, low visibility situation is more notable. Therefore, for the same forecast error, low visibility should have a higher risk...
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