An efficient method of target classification
Yanning Zhang, Licheng Jiao, Hu Songhua · 2002
The People's Republic of China's fishery and offshore petroleum development industries 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 classifying actual ship noises. The classification experiment results are encouraging, which shows that the classifier above is an efficient engineering classifier for actual ship noises.