Abstract
The estimation of cyclone intensity is done by deep belief neural network in this paper. The cyclone estimation is useful for marine warnings and landfall evacuation planning so that prior decision can be taken. The satellite image is preprocessed and the noise is removed with median filtering. This model gives better accuracy and the algorithm converges earlier to reduce root mean square error. The hurricane or tropical cyclone causes a low pressure center, strong wind, thunderstorm and rain. The destruction of the cyclone depends on the intensity and location. The existing systems have a drawback of giving same pattern for the cyclones having same intensity. But the proposed model estimates the intensity for all regions.
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