Based on the primary qualitative method, we propose an annual runoff prediction model using weighted sum of wavelet coefficients of major periods to predict the periodic components.
本文在原有定性分析方法的基础上，提出基于年径流时间序列主周期小波系数加权求和预测周期成分的年径流预测模型。
Furthermore, through the maximum likelihood used for evaluating three parameters of wavelet coefficients' probability model, the adaptive algorithm is derived in the article.
而且本文通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应。
Furthermore, by evaluating three parameters of wavelet coefficients "probability model using maximum likelihood method, self adaptively of the algorithm is achieved."
而且通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应性。
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