Ship's classification by its magnetic signature: a neuro-genetic approach

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.