船舶辐射噪声的模糊神经网络分类
CLASSIFICAION OF THE RADIATED NOISE OF THE SHIP BY THE FUZZY NEURAL NETWORK
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摘要: 该文研究了船舶辐射噪声的谱特征和分形特征，并利用这两个特征作为船舶分类的依据；同时阐述了以模糊神经网络为分类器所具有的独特优越性．分类处理获得了较为满意的结果．Abstract: The paper deals with the spectrum features,the fractal characteristics of the shipradiated noise,and researches the relationship between them;also,it takes advantage of them to distinguish the types of the ships.At the same time,a fuzzy neural network is used to be a classifier,and its particular superiorities are discussed.The classification processing experiment achieved satisfactory result.
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相敬林，王海燕．微弱信号检测技术与近感系统．西安：西北工业大学出版社，1993，226-233．[2]尤立克R J．水声原理．哈尔滨：哈尔滨船舶工程学院出版社，1990，第十章第四节．［3］张涛，文学章．吸引子维数计算的几点改进．浙江大学学报(自然科学版)，1993，27(5)：673-679．[3]Mascioli F M,Martinlli G,Rizzi A.A Constructive algorithm for fuzzy neural network.Proc.of IEEE Neural Network,1997,3193-3196.[4]Marple L.A new autoregressive spectrum analysis algorithm.IEEE Trans.,on ASSP,1980,ASSP-28(4):441-454.[5]Patrick K Simpson.Fuzzy min-max networks-Part 1:Classification.IEEE Trans.,on Neural Networks,1992,NN-3(5):776-786.[6]王士同．神经模糊系统及其应用．北京，北京航空航天大学出版社，1998年6月，169-171． -
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