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  2006, Vol. 19 Issue (3): 388-392    DOI:
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Research on Target Recognition Based on Classification IntervalWavelets Network
ZHU ZhiYu, ZHANG Bing, LIU WeiTing
School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003

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Abstract  A method to construct intervalwavelets is introduced in this paper, which is combined with neural network. A model of intervalwavelets neural network is proposed to classify signals, which can solve the problem that basic space does not match the space of learnt signals. Analogue annealing strategy is introduced into the model, and adaptive varied learning coefficient is applied to train the network. The experimental results show that the number of neurons can be decreased, the convergence rates also can be improved and “dimension disaster ” problem is solved with better classification effect as well when applying intervalwavelets neural network in Radar Target Recognition.
Key wordsIntervalWavelets      Classification IntervalWavelets Network      Target Recognition      Radar     
Received: 21 February 2005     
ZTFLH: TP18  
  IN959.17  
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ZHU ZhiYu
ZHANG Bing
LIU WeiTing
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ZHU ZhiYu,ZHANG Bing,LIU WeiTing. Research on Target Recognition Based on Classification IntervalWavelets Network[J]. , 2006, 19(3): 388-392.
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