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针对一般水库放水决策模型存在的问题,考虑在决策运行历史阶段上的经验等实际中的要求,提出了基于神经网络的BP模型,对摸拟的20年径流资料进行了决策计算,其结果与逐步最优化(POA)方法的结果进行了对比分析。说明了BP模型方法可行,并保证了水库能够多蓄水能。
In view of the problems existing in the decision-making model of general reservoir discharge and the practical experience in the historical stage of decision-making operation, a BP model based on neural network is proposed to calculate the 20-year simulated runoff data. The results of the stepwise optimization (POA) method are compared and analyzed. It shows that the BP model method is feasible and ensures that the reservoir can store more water.