建立了不同路径风暴潮的预报模型。
The features of typhoon storm surge along different paths are analyzed.
流域水文预报模型的建立。
将这种方法应用于某预报模型，取得了良好的效果。
When such a method is applied to some prediction model, excellent results have been achieved.
对EV模型在水位预报模型中的实际应用做了探索。
Exploring the application of EV model in the stage forecasting model.
滑坡时间预报的核心是预报模型和预报判据的建立。
Prediction models and criteria are key factors in time prediction of landslides.
对于泵站单独运行的情况，给出了用水量的预报模型。
For the case of operation of single pump-set, the model of water requirement forecast is given.
针对这些问题提出了城市空气质量的回归诊断预报模型。
Thus the regression diagnosis prediction model for city air quality forecasting is proposed.
用春季高度距平平均场建立了夏季低温冷害天气预报模型。
The forecast model is found by using the height distance field in spring too.
首先根据声纳方程，推导出了声纳浮标作用距离的预报模型。
Firstly, the prediction model was induced according to the equation of sonar.
草地蝗虫发生的地形分析是建立草地蝗虫发生预报模型的基础。
The topographic analysis of grasshopper outbreak is the base to develop the prediction model for grasshopper outbreak.
电力系统负荷预报模型因负荷构成及采用的建模技术不同而各异。
Load forecasting models in power system is different due to load constitutes and modeling technique.
通过引人双恒等变换，推导出系统和辅助系统的自校正预报模型。
By introducing double constant alterations, we establish self-tuning predictive models of system and auxiliary system.
流域水文预报模型的参数率定是洪水预报中非常重要和困难的工作。
The parameter identifying of the hydrology forecasts model is very important and difficult work in the flood forecasting.
在夏收期间的中期预报中，使用了非线性多元样条函数回归预报模型。
The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.
提出了基于层流冷却过程动态模型的预设定模型和卷取温度预报模型；
The preset model and the coiling temperature predicting model based on the new dynamic model are developed.
建立了新的隧道工程开挖围岩位移预测和稳定性预报模型及其分析方法。
Analysis models of displacement prediction and stabilization forecast of surrounding rock of highway tunnel excavation are established.
土壤侵蚀预报模型在空间尺度上可以划分为坡面、小流域和区域三个层次。
Soil erosion forecasting model can be divided into three levels of slope, small watershed and region in spatial scale.
影响卷取温度的因素多而且复杂，采用传统的温度预报模型难以达到较高的精度要求。
Traditional coiling temperature prediction model is difficult to get the high precision of prediction because of multi-factors.
以传统的端铣切削力模型为基础，提出了一种新的端铣加工中静态切削力的预报模型。
Based on traditional cutting force model in face milling, a new cutting force model for the prediction of static cutting forces has been presented.
降雨侵蚀力反映了降雨对土壤侵蚀影响的潜在能力，它是建立土壤水蚀预报模型的基础。
The rainfall erosivity can suggest the potential effect of rainfall on soil erosion. It is necessary to develop the water erosion model.
利用晚疫病预测预报模型可以准确地预报晚疫病发生的时间，指导薯农适时适量地用药。
It can forecast the exact epidemic time of LB and help the proper application of fungicides by using of LB forecasting models.
建立在时间序列分析基础上的中长期预报模型具有很好的预报效果，可以用于作业预报。
The mid and long term forecast model based on the time series analysis has a good forecast effect.
为了检验其预报效果，根据相同的预报因子和历史样本，建立了相应的逐步回归预报模型。
In order to check the prediction effect, the stepwise regressive equation prediction model was established with the same prediction elements and historical samples.
将免疫算法与神经网络理论相结合，提出了免疫神经网络预报模型，以预报油库油气浓度。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
采用数据分析的方法建立了废气温度上升点、烧结终点、垂直烧结速度等参数的预报模型；
Predicted models of rising position of gas temperature, burn through point, vertical sintering speed, and so on, are established using dada analysis method.
提出了两种类型负荷预报模型，基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
如果给以合适的初始条件和大气及海洋对冰的作用力，该模型可用作渤海的短期海冰预报模型。
Giving the exact initial conditions and the atmospheric and oceanic forcings, this model can be used as a short-term sea ice forecasting model in Boai sea.
本文利用人工神经网络中的BP网络，建立赤潮生物密度与环境因子的人工神经网络的预报模型。
This article introduces a predictive model of Artificial Neural network of red tide biology density and environment factors by use of the back propagation (BP) network.
本文利用人工神经网络中的BP网络，建立赤潮生物密度与环境因子的人工神经网络的预报模型。
This article introduces a predictive model of Artificial Neural network of red tide biology density and environment factors by use of the back propagation (BP) network.
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