Implementation of procedures for neuronet monitoring of underwater noise from vessel using computer simulation

Abstract

Advantages of vessel underwater noise monitoring using artificial neural networks over traditional methods are reported. Input and output data structure is presented. The optimal artificial neural network architecture is chosen in terms of statistical criteria. Results of implementation of procedures for neuronet monitoring of vessel underwater noise using computer simulation are analyzed.