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小波神经网络

于 2022-02-04 发布 文件大小:1.74 kB
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资源描述小波分析理论被认为是傅立叶分析的突破性进展。小波变换通过尺度伸缩和平移对信号进行多尺度分析,能有效提取信号的局部信息[1]。神经网络具有自学习、自适应和容错性等特点并是一类通用函数逼近器[2]。小波神经网络继承了两者的优点,通过训练自适应地调整小波基的形状实现小波变换,同时具有良好的函数逼近能力和模式分类能力[3, 4]。已经证明,小波神经网络在逼近单变量函数时是渐近最优的逼近器[5]。

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