Author(s)

J.A.A. Arantes do Amaral & P.L. Botelho

Abstract

The ship's classification by its magnetic signatures is of great importance in the development of magnetic sea mines. This work concerns the use of neural network classification system combined with the relevant features method to solve this problem. Alternatively we use genetic algorithm techniques to the train neural network. We compare both approaches in order to find the best characteristics of each one. 1 Introduction Nowadays modern magnetic mines need to have the ability to destroy specific kinds of targets. From a military point of view it is interesting to have the option of setting up mines to destroy an specific class of ship when a fleet is passing by. This pape

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