The paper also researches the power load forecasting and gives an analysis of a short forecasting algorithm.
本文还研究了电力负荷预测算法，并给出了一种电力负荷短期预测算法的详细分析。
Based on ideals of improving on forecasting precision of the grey model, an improved grey forecasting algorithm was given.
基于改进灰色模型预测精度的思想，给出了一种改进的灰色模型预测算法。
In order to research temperature trend forecasting of rolling electric machine, a temperature trend forecasting algorithm based on SVM is proposed.
为了对轧线电机温度趋势预测进行研究，提出了一种基于支持向量机的温度趋势预测算法。
WeatherBill is combining an ecommerce site with a complicated weather forecasting algorithm to sell weather insurance policies to individuals and businesses.
WeatherBill公司正在把一个电子商务网站和一中复杂的天下预报分析系统整合起来，然后向公司和个人出售天气保险单。
Experimental results show that the choice for trend forecasting models can be correctly finished by using GP-decision tree algorithm.
实验结果表明，应用GP决策树算法能够正确完成对趋势预测模型的选择。
It also gives the improved algorithm of the raw model, which makes the model be more efficient, and gets the good forecasting result.
提出了原有模型的改进算法，从而提高了模型的有效性，并取得了比较好的预测结果。
It achieves more effective results to apply the fast algorithm to deposit forecasting.
把这种快速算法应用于矿床预测，取得了良好效果。
An example of the algorithm's application in electric power system load forecasting is shown and compared with standard BP algorithm.
文中给出了这种算法在电力系统负荷预测中的实际应用，并与标准BP算法作了比较。
On the basis of many research, a modified artificial neural network algorithm based on fuzzy theory is proposed to improve the forecasting precision of flood peak.
在大量研究的基础上，提出了基于模糊理论的神经网络改进算法，用来提高对洪峰的预报精度。
Aiming at the problem of large-scale microscopy images acquisition of two-layer object, an auto-focusing algorithm was proposed based on image edge and adjacent area forecasting.
针对显微镜下两层物体的大规模图像采集问题，提出了基于图像边缘和邻域预测快速自动对焦算法。
Since the algorithm only need one sensor to measure the acceleration of vehicle body without forecasting road profile, it is one of most promising candidate for automotive applications.
由于该算法只需要一个传感器测量车身加速度，不需要预测路面，是一种非常有应用前景的算法。
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。
Results of the test using field data show that the spline fitting can make a better compromise of best fitting and smoothness, and the algorithm performs better in short-term traffic flow forecasting.
经过实测数据仿真试验表明，样条拟合能较好地兼顾最优拟合与曲线光滑度的选择，算法的预测效果良好。
A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.
将粒子群算法引入大坝安全监控领域，并结合多元回归统计模型，建立基于粒子群算法的混凝土坝变形预报模型。
A model for forecasting SO2 pollution in atmosphere was developed and a weighted real-time least square algorithm was applied to the real-time identification of the model.
考虑了影响大气扩散的主要气象因素及其它因素，提出了一个大气so_2污染预测模型，并运用加权实时最小二乘算法对模型进行实时辨识。
To achieve a higher convergent speed, the forecasting model adopts Levenberg-Marquardt(LM) algorithm, and the model adopts early stop method to improve extended capacity of the model.
在预测模型中采用LM算法提高网络的收敛速度，并采用提前停止法提高网络的推广能力。
This paper provides an introduction to Analog Complexing (AC) algorithm and its application to forecasting.
本文介绍类比合成(AC)算法及其对预测的应用。
This paper advances two methods for the height forecasting in LOD algorithm, and analyzes the advantages and disadvantages of the two methods.
提出了LOD算法中高度预测的两种方法，并分析了两者的优缺点。
A recurrence algorithm of dynamic economic dispatching coupled with very short term load forecasting is presented.
本文提出一个与超短期负荷预报结合在一起的动态经济调度递推算法。
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。
Describing the type of fuzzy neural network and training algorithm, neural network and fuzzy theory combined forecasting model.
介绍了模糊神经网络的类型和训练算法，将神经网络、模糊理论结合，建立预测模型模型。
This paper presents a fuzzy adaptive variable weighting algorithm for combination forecasting by imitating mens decision making process.
模仿人的决策过程，提出了一种模糊自适应变权重组合预测算法。
These combination forecasting models are characterized with simple algorithm and comparison of forecasting effectiveness to different time series.
该模型具有计算简便的特点，而且具有可比性，能反映不同时间序列预测方法有效性。
The fault forecasting technique and the numerical forecasting method are studied. An algorithm is given for the neural network in the course of forecasting.
探讨了故障预报技术的应用及其数值预测方法，给出了神经网络模型在预测过程中的算法。
As for the inadequate of BP neural network, PSO algorithm is used for its optimization, thus creating a hybrid neural network model for flood forecasting.
针对BP神经网络的不足，采用P SO算法对BP神经网络进行优化，建立一个混合的神经网络洪水预测模型。
Then by use of different fractal property of power load data the proposed fractal extrapolation algorithm is applied to the forecasting of daily load, daily peak load and annual power consumption.
然后利用电力负荷数据的不同分形特性，将分形外推插值算法应用于电力日负荷、日峰值负荷及年用电量预测中。
Then by use of different fractal property of power load data the proposed fractal extrapolation algorithm is applied to the forecasting of daily load, daily peak load and annual power consumption.
然后利用电力负荷数据的不同分形特性，将分形外推插值算法应用于电力日负荷、日峰值负荷及年用电量预测中。
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