Neural Network Hurricane Tracker
Patent application, Filed 27 May 98
DEPARTMENT OF THE NAVY WASHINGTON DC
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The present invention relates to a method and a system for predicting the path of a hurricane. The system includes sensors for gathering real-time data about the hurricane and supplying the data to a trained neural network for yielding a predicted path for the hurricane. The system further includes a device for displaying the predicted path of the hurricane. A method for using and training the neural network in the system is described. In the method, the neural network is trained using information about hurricanes in a specific geographical area maintained in a database. The training involves inputting a plurality of parameters about at least one historical hurricane track and producing an output signal representative of a predicted hurricane path. An error is calculated between the output signal and the actual track and the internal weights of the neural network are adjusted to reduce the error.