In application of neural networks based short-term load forecasting model, the main problems are over many training samples, thus resulting long training time and slow convergence speed.
在神经网络负荷预测实际应用中，突出的问题是训练样本大、训练时间长、收敛速度慢。
Using the information of rice phenology observed in Kai- yuan City and with the method of multiple regression, a long term forecasting model for rice yield was established.
本文以辽宁省开原市水稻物候观测实际资料为例，采用多重回归的方法，建立了影响水稻产量的多时效预报模式。
Because of the inherent bias in the traditional grey-forecasting model and the fixed choice of its parameter, the forecast precision is relatively low and unsuitable to the long-term forecasting.
由于传统灰色预测模型固有的偏差和模型参数的固定选择，导致预测精度较低，不适应中长期负荷预测。
The grey system model is efficient for long-term port throughput forecasting.
灰色系统预测模型是一种进行港口吞吐量预测的有效方法。
Period superposition forecasting model is a practical method in mid-to-long-term hydrological forecasting.
周期迭加预报是中长期水文预报的一种实用模型。
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.
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。
Gray forecasting model is applied to predict analyzing sorts of long-term accident death totality ranging from 2003 year to 2020 year in the paper.
论文应用灰色模型对我国2003至2020年中长期各类事故死亡总量进行预测分析。
At the same time, this paper utilizes the improved model based on exponential regressive curve and ARMA model to carry on the medium and long-term electric power demand forecasting in Hunan province.
同时本文利用指数曲线与ARMA的叠加预测模型对湖南省中长期电力需求进行了具体的实证研究。
Aiming at the features of medium and long-term load forecasting, a comprehensive model for medium and long-term load forecasting based on Analytic Hierarchy Process (AHP) was put forward.
针对中长期电力负荷预测特点，提出了一种基于AHP(层次分析法)的中长期电力负荷预测综合模型。
The results show that EGARCH is the best model for forecasting long-term volatility. Furthermore, using EGARCH with the Student t-distribution gives better results than with a normal distribution.
实证分析结果表明：EGARCH模型比较适合对我国股票市场波动性作长期预测，若假设收益序列服从t分布，由此改进的EGARCH-T模型会得到比正态分布下更好的拟合与预测效果。
An improved model based on RBF neural network for medium and long-term load forecasting is presented. The feasibility and validity o...
实际算例的分析表明，所提出的基于RBF神经网络的缺损数据处理方法和改进的中长期负荷预测模型是可行和有效的。
Chapter 5 introduces the forecasting effect of the long term runoff forecasting model.
第四章具体介绍了预测模型的数据库设计与实现。
Chapter 5 introduces the forecasting effect of the long term runoff forecasting model.
第四章具体介绍了预测模型的数据库设计与实现。
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