Underwater vehicle sonar self-noise prediction based on genetic algorithms and neural network

Abstract

The factors that influence underwater vehicle sonar self-noise are analyzed, and genetic algorithms and a back propagation (BP) neural network are combined to predict underwater vehicle sonar self-noise. The experimental results demonstrate that underwater vehicle sonar self-noise can be predicted accurately by a GA-BP neural network that is based on actual underwater vehicle sonar data.

Keywords

sonar self-noise / back propagation (BP) neural network / genetic algorithms

References

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