摘要
介绍了一种区间小波的构造方法 ,并将区间小波与神经网络相结合 ,提出了一种用于信号分类的的分类区间小波网络 ,利用它可以解决以往小波网络的基底空间与被学习信号所属空间不匹配的问题。实验结果表明 ,将区间小波网络应用于雷达目标识别 ,可以减少神经元的数目 ,提高网络的收敛速度 ,能够获得较好的分类效果。
One method to construct interval wavelets, which are combined with neural networks, is introduced. A model of interval wavelets neural network used to classify signals is proposed, which can solve the problem that basic space does not match the space of learnt signals. The experimental results show that the number of neutrons can be decreased and the convergence rates can also be improved when applying interval wavelets neural networks in radar target recognition.
出处
《华东船舶工业学院学报》
EI
2001年第6期30-34,共5页
Journal of East China Shipbuilding Institute(Natural Science Edition)
