【摘要】 将遗传算法应用到雷达测量降水的Z-R关系参数优化问题中,通过引入改进的误差函数加入总降水量误差控制,对1998年6月28日~7月2日阜阳地区的两次降水过程进行了参数优化试验,并和常规的最小二乘法、最优化方法及M-P参数法进行了对比,试验结果表明:新方法在总降水量估测方面具有更高的准确性和更好的动态适应性。更多还原

【Abstract】 A real coded genetic algorithm(GA) using GUC crossover is introduced to optimize the Z-R parameter for radar rainfall estimation and a new error function is proposed with the control of total rainfall estimation error.This new method is compared with the conventional Least Means Method(LMS),Optimized Method and M-P parameter with the Fuyang radar data and associated raingauge data from June 28 to July 2,1998.Experiment result shows that the accuracy of total rainfall estimation is increased and the new method is more adaptive.更多还原