The application of using artificial neural network in weather forecasting has with development of the ANN itself.
将神经网络应用于天气预测的研究也随着对神经网络本身的研究而开展。
This article presents the principle of ANN briefly in the application of flood forecast and an improved network algorithm of rainfall runoff forecasting.
简要介绍了人工神经网络用于洪水预报的基本原理，对降雨径流预报的网络模型进行了改进。
After study of the combined forecasting methods based on the ANN theory, it is put foreword that Exponential-Smooth (ES) and ANN combine a new prediction algorithm.
并且对基于神经网络的组合预测方法进行了研究，提出了一个神经网络和指数平滑模型组合运用的预测算法。
This paper presents a forecasting model of runoff to Wuyandong subterranean stream system by BP ANN based on the data of precipitation and flux in Luota, west Hunan.
采用湖南洛塔地区屋檐洞地下河系统降水—径流资料训练BP人工神经网络，建立了该系统的径流预测模型。
For the short -term electric power load with uncertainty influence factors, we put forward the load forecasting method using ANN based on similar historical day.
对于受不确定因素影响的短期电力负荷，提出了一种基于相似日的神经网络预测方法。
The artificial neural network (Ann) method is studied for use in river channel flood forecasting, the result show that the method can be applied in practice.
论文探索了人工神经网络方法(ANN)在河道洪水预报中的应用；该结果具有一定实用前景。
Based on the artificial neural network (ANN), a real-time flood forecasting model is proposed.
建立了一种基于神经网络的洪水实时预报模型。
Back propagating artificial neutral net (BP-ANN) was applied to the forecasting of photochemical degradation of phthalates.
将反向传播人工神经网络(BP - ANN)用于邻苯二甲酸酯类化合物的光化学降解的预测中。
In this paper, the application of artificial neural network (ANN) for short - term load forecasting and mid - long - term load forecasting are analyzed and compared.
本文分别对人工神经网络(ANN)在短期负荷预测和中长期负荷预测中的应用进行了分析、对比。
In order to capture the effect of weather on load, this paper presents a novel thought based on ANN and trends combination short term load forecasting.
为了更好地捕捉天气对负荷的影响，文中提出了一种基于神经网络的趋势组合短期负荷预测思想和模型。
Comparison with the ANN model shows that both one step forecasting accuracy and multistep forecasting accuracy by the online model are higher than that by ANN model.
与已有神经网络预测模型相比，具有更高的一步预测和多步预测精度。
The findings show that the ANN based sales forecasting can satisfactorily capture fluctuations in the sales volume and achieve higher accuracy in forecasting results.
结果表明， 基于人工 神经 网络进行钢管销售预测，可以较好反应出销售量的变化趋势，得到更为精确的预测结果。
The findings show that the ANN based sales forecasting can satisfactorily capture fluctuations in the sales volume and achieve higher accuracy in forecasting results.
结果表明， 基于人工 神经 网络进行钢管销售预测，可以较好反应出销售量的变化趋势，得到更为精确的预测结果。
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