An efficient method of target classification

摘要

P.R.China's fishery and offshore petroleum development have been in urgent need of a classifier of noise signals. In this paper, a local adaptive wavelet neural network is proposed, and an efficient engineering classifier based on the local adaptive wavelet neural network is designed and applied to classify the actual ship noises. The classification experiment results are encouraging, which shows the classifier above is an efficient engineering classifier for actual ship noises.