摘要
把小波网络方法用于时间序列分析中非线性模型，利用小波网络的非线性逼近能力，构造一个非线性函数，并对温度资料进行处理，得到了较好的拟合效果。
The paper is devoted to application of the wavelet network technique to nonlinear models for timeseries analysis and the nonlinear approximation by the method is able to construct a nonlinear function that is used to process temperature data, resulting in good fitting accuracy.
出处
《南京气象学院学报》
CSCD
1997年第3期370-374,共5页
Journal of Nanjing Institute of Meteorology
基金
江苏省自然科学基金
