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新建文件夹 (2)

于 2018-06-28 发布 文件大小:4KB
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  基于小波变换神经网络的车流量预测,含程序和数据。小波分析是针对傅里叶变换的不足发展来的,傅里叶变换是信号处理领域中应用最广泛的的一种分析手段,然而它有一个严重不足,就是在变换是抛弃了时间信息,变换结果无法判断某个信号发生的时间,即傅里叶变化在时域中没有分辨能力。小波是一种长度有限,平均值为0的波形,它的特点包括:(1)时域都具有紧支集或近似紧支集;(2)直流分量为零。小波函数是由一个母小波函数经过平移与尺寸伸缩得到,小波分析即把信号分解成一系列小波函数的叠加。(Vehicle flow prediction based on wavelet transform neural network)

文件列表:

新建文件夹 (2)\d_mymorlet.m, 97 , 2009-04-12
新建文件夹 (2)\mymorlet.m, 90 , 2009-04-12
新建文件夹 (2)\traffic_flux.mat, 1574 , 2009-11-26
新建文件夹 (2)\wavenn.m, 5472 , 2013-08-21
新建文件夹 (2), 0 , 2018-06-28

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