The two complementary models are used in such a way that errors of the model are forecasted by a neural network model so that flow forecasts can be improved as new observations come in 本耦合模型的工作原理为：通过人工神经网络来预报模型的误差来提高用新观测资料得到的流量预报精度。
Case study in the baohe river basin has shown that considering the spatial variability in study basin is an effective way to improve the performance of hydrological modeling 由上述三部分研究内容来看，空间变异性对水文过程模拟的影响是至关重要的，考虑空间变异性对提高水文预报精度是一条有效途径。
Subject : research on flood forecasting of shuicheng reserior after a research on soil condition of yunan province , this paper presents an advanced xin " anjiang model based on classical xin " anjiang model 本文在传统预报模型的基础上，通过对云南地区水文情况的研究，提出改进新安江模型。该改进模型水源划分更加合理，预报精度得到提高。
We can expediently rapidly make forecast with it . the system was finished in 1997 , and it got racin cup of the job forecast on the national hydrologic forecast technology race on 12 , 1997 该系统采用了传统的预报方法与现代计算机技术相结合的方法，能够方便、快捷地作出预报，预报精度和有效预见期都有所提高，并为长江上游作业预报系统的编制积累了宝贵的经验。
( 6 ) dividing catchment into subbasin according to physiographic characteristics of the catchment and inputting information which well represents current situation is a very effective method in increasing forecast precision for all the systematic models mentioned ( 6 )不论何种模型，进行合理的分区和准确的信息输入都是提高模型预报精度的一个有效的方法。
It is verified that the prediction accuracy of ship maneuvering hydrodynamics , turning motion and zigzag curve are acceptable in practice , if the learning samples , network ' s structure and learning algorithm are reasonable 研究结果表明，只要选择适当的学习样本、网络结构和学习算法，神经网络的水动力预报精度、回转运动预报和z形曲线的预报在实际中可以接受。
Because the complexity of ice evolvement and it was late to start studying river ice in our country , now the freeze - up forecasting precision ca n ' t satisfy the need of preventing ice flood and the freeze - up formula of every reaches is different , being not all - purpose 由于冰凌演变的复杂性及我国冰情研究起步较晚，现在的预报精度尚不能满足防凌需要，且各河段封河预报公式不同，没有通用性。
The experiment result of ann model joined with ga for area rainfall forecast shows that this method can enhance the forecast precision of 6 - hours precipitation compared with other statistical methods , and its effectiveness and the reliability of the method has been proved 比较结果表明ga - bp网络模型无论在拟合精度还是在预报精度上都高于其它统计方法。因此可以说， ga - bp网络是一种精度较高的降雨预报模型。
In the end the predicting model is used in watercraft motion modeling and predicting , and the auhor analyzes the result of simulating . the result indicates that this ap $ j $ ifgx9 @ 1 % & itx means is reasonable and feasible and gains the satsfactory pmpose 最后将此模型应用于舰船纵摇运动的极短期预报，并从统计理论的角度对仿真结果进行了分析，分析结果表明该方法是合理可行的，确实提高了预报精度，加长了预报时间。
To limit the predicting precision loss in a certain range , author presented a method of bayes modeling and predicting for dynamic errors based on standard value interpolation at intervals during the multi - step prediction after consulting a lot of papers at home and abroad 为将预报精度损失控制在一定的范围之内，作者在查阅了国内外大量相关文献之后，提出了基于标准量插入的动态测量误差的贝叶斯建模预报理论，并根据贝叶斯理论给出了预报值的不确定度。
