A classification method of noise radiated from ships based on adaptive Gauss neural networks

Based on adaptive Gauss neural networks,a classification method of noise radiated from ships is presented in this paper.Adaptive Gauss neural network is studied,and is used to extract automatically characteristics from noises radiated from three types of ships and to classify them after Fourier transform preprocessing.From the classified results,it is shown that the classified intervals are better and the number of the characteristics by using characterristics extracted by the adaptive Gauss neural network classifier is less than by using AR model and subband average power methods.The classified results are encouraging and this method is proved to be superior.