Abstract：A method to construct intervalwavelets is introduced in this paper, which is combined with neural network. A model of intervalwavelets 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 intervalwavelets neural network in Radar Target Recognition.
朱志宇，张冰，刘维亭. 分类区间小波网络在目标识别中的应用[J]. 模式识别与人工智能, 2006, 19(3): 388-392.
ZHU ZhiYu, ZHANG Bing, LIU WeiTing. Research on Target Recognition Based on Classification IntervalWavelets Network. , 2006, 19(3): 388-392.
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2006, Vol. 19 
