Paper
18 September 1998 Ship's classification by its magnetic signature: a neuro-genetic approach
Joao Alberto Arantes do Amaral, Pedro Laureano Botelho, Nelson F. F. Ebecken, A. E. Xavier, L. P. Caloba
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joao Alberto Arantes do Amaral, Pedro Laureano Botelho, Nelson F. F. Ebecken, A. E. Xavier, and L. P. Caloba "Ship's classification by its magnetic signature: a neuro-genetic approach", Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); https://doi.org/10.1117/12.323851
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Neural networks

Magnetism

Neurons

Genetic algorithms

Classification systems

Genetics

Magnetometers

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