【摘要】 根据旅游流量的频率分布特性,运用小波分析将不同频率成分组成的时间序列分解成低频和高频成分,然后依据小波系数的重构原理还原时间序列的趋势成分,判断旅游流量时间序列的趋势变化.运用小波分析对天涯海角流量分析所得结果,建立神经网络模型对旅游流量进行预测.更多还原

【Abstract】 The paper decomposes the visitor’s flow sequence made of different frequencies into the low and high frequencies in the multi_resolution analysis according to the characteristic of visitor’s flow sequence frequencies and then restores the trend components according to the reconstruct principle of wavelet coefficients,in order to deduce the visitor’s flow trend.Based on the result of the trend in the multi-resolution analysis,the paper constructs the corresponding artificial neural network to estimate the visitors’ flow.更多还原