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Adaptive Pattern Recognition for Tornado Detection

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Figure

Figure 1: Hardware architecture of the operational system. The research WSR-88D (KOUN) operated by the National Severe Storms Laboratory in Norman has the unique capability of col-lecting massive volumes of Level I time series data over many hours
Figure 2: PPI of the WSR-88D reflectivity at 9:43 pm, May 10, 2003. The small box outlines the location of the region of interest
Figure 3: Sketch of the feedforward/backpropagation network which was employed. 32 input nodes were followed by 40 hidden neurons
Figure 4: K-Means algorithms may be used to increase class separability, which improves the performance of the classifier or network.
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