介绍一种长期趋势预报方法。
目前统计预报方法仍然是长期天气和气候预报中的重要方法之一。
The statistical method is still one of the most important methods of long-range weather forecasting and climatic prediction.
对四川盆地夏季温度的预报表明：这种容纳多时次资料、基于EOF迭代的物理一统计预报方法是一种有效的长期预报途径。
The results show that the physical-statistical method with multi-time historical data has an enormous potential in long-range forecast based on EOF iteration scheme.
采用历元状态滤波建立了星上自主中长期轨道预报方法，并以太阳同步轨道卫星为例对算法进行了仿真验证。
The on-board autonomous term orbit prediction is built according to epoch state filter. And sun-synchronous orbit satellites are taken as examples for the simulation.
研究结果表明，运用该模型方法可利用大地测量数据确定沿板块边界断层带的相对闭锁区，从而进行中长期地震预报。
The research result shows that this physical model is useful to determine the locked area along plate boundary faults and further to make the long term and middle term earthquake prediction.
研究结果表明，该预测模型为农业害虫种群动态的中长期预测预报提供了一种新的研究方法，是一种优良的模型。
The results tested the pest data showed that the new method may be tried for the mid term or long term forecasting of the population dynamics of insect pests, and it is a good model for application.
提出了径流长期分级预报的人工神经网络方法，给出了多层前馈网络的联合梯度算法。
An artificial neural network method is proposed for hydrological forecasting, the hybrid gradient method for multilayer feedforward neural network developed.
采用误差反传前向网络（简称BP网络）方法，以日、月相概率作为输入因子，建立长期天气预报模型。
A forecast model for long-term weather forecast is established in terms of a BP neural network using solar-lunar positions as input factors.
现结合水文长期预报的特殊性，将关联规则挖掘分析方法应用于径流长期预报中。
On the other hand, the long-term forecast of annual maximum flood peak discharge has been researched with the period method combined with the stochastic method.
现结合水文长期预报的特殊性，将关联规则挖掘分析方法应用于径流长期预报中。
On the other hand, the long-term forecast of annual maximum flood peak discharge has been researched with the period method combined with the stochastic method.
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