提出了用混沌模拟退火法估计非线性马斯京根模型参数的优化算法。
This paper presents an optimization algorithm based on chaotic simulated annealing algorithm, which is used to estimate the parameter of Nonlinear Muskingum model.
提出和讨论了基于马斯京根流量演算河道洪水实时预报的半自适应滤波模型。
Based on the Kilman filter theory and Muskingum method, the half self adaptive updating Kilman filter model of channel flow routing has been developed for real time application of flood forecasts.
常用的试算法在确定马斯京根方程参数时一般得不到最优结果，且计算较繁杂。
The parameter of Muskingum equation is usually ascertained by the trial way that were complex and the optimized results not gotten.
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