long-term prediction
英 [lɒŋ tɜːm prɪˈdɪkʃn]
美 [lɔːŋ tɜːrm prɪˈdɪkʃn]
网络 长期预测
双语例句
- Due to some difficulties in the long-term prediction of flood, typhoon and storm tide, it is necessary to conduct the synthetic study in multiple disciplines.
由于对洪水、台风和巨大风暴潮的长期预测尚有一定困难，因之需要多学科进行综合研究。 - The three main modules: short-term prediction, BP neural network long-term prediction and Gray-Disaster prediction constitute the Forecasting and Early-Warning Software System for Potato's Late Blight.
短期预测、神经网络长期预测以及灰色灾变预测这三个模块共同构建了马铃薯晚疫病预警系统。 - The results showed better results are obtained in short-term prediction with these predictive models, but the hyperbolic model is the best in long-term prediction among these models.
结果表明：三种预测模型对短期预测均能取得较好的结果；对于长期预测，双曲线模型能更好的反映沉降的真实情况。 - And the prediction method that combines the short-term prediction, long-term prediction of NN with Grey-Disaster prediction also may be applied for other domains to a certain extent, such as mechanic fault diagnosis, flood disaster prediction, etc.
同时将短期预测、神经网络长期预测、灰色灾变预测三者相结合的预测思想，对于一些其它领域的预测预警（如机械故障诊断，洪水灾害预测等）也具有一定的推广参考价值。 - Adaptive code-book search ( or long-term prediction) plays an important role in most CELP schemes.
自适应码本是多数CELP方案中的重要环节。 - Application of similarity model of chaos phase space in hydrologic medium and long-term prediction
混沌相空间相似模型在中长期水文预报中的应用 - Long-Term Prediction of Discharges Using Adaptive-Network-based Fuzzy Inference Systems Models
基于自适应模糊推理系统模型的径流中长期预报 - A trend of potato's Late Blight of BP neural network long-term prediction model are constructed with the result of short-term prediction-Risk value, blight units and the add rain and the type of potato.
同时基于短期预测的结果&风险值和疫情值、气象数据中的降雨量以及马铃薯的抗病种类建立了晚疫病流行程度的神经网络长期预测模型； - Gray-Disaster prediction are constructed with the result of BP neural network long-term prediction model.
另外，利用神经网络长期预测的结果建立了灰色灾变模型。 - As transportation demand generated by a variety of factors and in different measure its operation law is quite different, so it is necessary to forecast demand by conducting in different time granularity that are long-term prediction and the volatility analysis.
由于交通运输需求的产生受到多种因素影响，在不同的通道中，其规律存在较大差异，因此需要将区域交通需求预测的研究对象根据不同时间粒度分别进行中长期预测研究和波动性研究。