进行预测

The results indicate that the ANN structure and the training sample have some impact on the prediction precision. The real time measured power as input will improve the precision of 30 min ahead prediction, however will decrease the precision of 1h ahead prediction. The results which using the atmospheric data at all different heights as input have a higher accuracy when compared with the results using hub height data only. The designed ANN can forecast the error band.

研究结果表明，神经网络的结构和输入样本对预测结果有一定的影响；实测功率数据作为输入可以提高提前量为30 min的预测精度，而对提前量为1 h的预测精度会降低；把不同高度的数据都作为神经网络的输入比只采用轮毂高度数据的预测精度高；设计的神经网络能够对误差带进行预测。

The model prediction is also compared with other theoretical models, for example, the Hashin-Shtrikman model for elastic constants and Kerner and Schapery models for thermal expansion coefficient. The model proposed in the present study shows similar precision on the properties of composites as the elastic modulus ratio is lower than 10. However, the elastic modulus ratio is higher than 20, the model proposed in the present study shows improved prediction on the properties of two-phase composites.

并与文献上其他理论模式进行预测性质之比较，例如：用於预测弹性常数的Hashin-Shtrikman模式、以及用於预测热膨胀系数的Kerner 及 Schapery模式，经由比较结果显示，当弹性系数的比值小於10时，本研究所建立的模型之预测值与其他理论模式有相似的精确预测功能，但是当弹性系数的比值大於20时，对於双相复合材料之弹性及热膨胀性质预测，本研究所建立的模型具有较佳的预测结果。

Owing to the test of fatigue life,possesses a rather big difficulty and its testing data have the characteristics of strong scatterence and if a prediction is made from using grey-forecasting model GM(1,1,thus its prediction value would get a rather big error compared with the real result,This paper hereby put forward a kind of new method to simulate the test.let the data be firstly processed into logarithmic series so as to reduce the scatterence of data,and then carry out the prediction by the use of grey-forecasting model.

由于疲劳寿命试验具有难度较大，其实验数据具有分散性强的特点，如果直接用灰色预测模型（GM（1，1））作预测，其预测值与真实结果的误差较大。在此提出一种试验仿真的新方法。首先将数据处理成对数序列，以降低其数据分散性；然后再用灰色预测模型进行预测。

This paper discusses grain security in Guanzhong basin based on the model of cultivated land pressure index and minimum area of per capita cultivated land through using Lotus 123 for Windows software and setting up the databases of " people-cultivated land-grain production ".

本文根据最小人均耕地面积和耕地压力指数理论，应用趋势预测分析和回归分析方法，建立研究区域粮食安全状况预测模型，进行预测分析研究。论文主要以陕西省关中地区为例进行分析与实践论证。结果为，1999年关中地区粮食处于安全状态，对于各个地区而言，西安和铜川的粮食状况不容乐观；而宝鸡、咸阳、渭南和杨陵区粮食状况相对安全。特别是杨陵区，在农业科技不断进步的作用下，耕地生产力水平提高，因此粮食状况最安全。

To realize the predicative optimum control of a system, the key of the problem is how to predicate the states of the system in the coming time space accurately and quickly and then use the predicated results and the optimal indexes to control the related system variables. A lots of study works in this aspect have been done. But there are still many short-comings. This paper proposed a method by which the scale of the predicted variables set could be reduced.

为了实现系统的预测最优化控制，问题的关键是如何准确而迅速地对未来一段时间内的系统状态进行预测，然后利用此预测结果及优化指标来控制有关系统变量，人们对此进行了许多研究，但尚有其不足之处。

The aim of this paper is to summarize the experiences of the construction of coal harbors, forecast the harbor throughout and shipping quantity based the main effect of the sea coal market by the investigation of the equipment of coal harbors, give the coal harbor evaluating index and methods, and analyze the foreground and countermeasure of the harbors based the system innovation by the developing forecast of coal market and the capacity analyze of coal harbors.The paper uses the methods of determining the nature and quantity.

本项研究采用定性与定量向结合的方法；煤炭海运量预测以未来煤炭市场需求预测为依据，按照主要煤炭调入地区运输方式的分配比例，并根据煤炭运输的经济性和合理性原则，采用指数平滑预测方法进行预测；对港口通过能力和设施、设备的利用情况进行定量评价，并建立相关的评价模型和评价指标。

Firstly, counterchanges the control signal coordinate, behind, forecasts and filters the waves according to the α-β-γ filter arithmetic, finally, reverts the forecasting result coordinate, and inputs the forecasting result...

根据复合控制原理，对控制信号首先进行坐标变换，然后依据α-β-γ滤波算法进行预测和滤波，最后，对预测结果进行坐标还原，将预测值加到伺服控制的输入端。

In load forecasting, firstly obtains load hefts at different frequencies by wavelet transforming, then forecasts every heft by data classification and regression multianalysis, in the end fits every forecasting result together to get the final result.

对于负荷预测，本文首先利用小波变换对负荷序列进行分解，得到不同频率的各个负荷分量，然后利用数据分类和多元回归分析方法分别对各个分量进行预测，最后再将各个分量的预测值组合起来，得到最终的预测结果。

A stock price prediction model is founded on Artificial Neural Network with a hybrid training algorithm in the paper. The model is based on the predictability of stock market and quantitating part of the influence factors in stock market and using the traditional stock technical analysis method.

本文以股市的可预测性为基础，对股市部分影响因素进行量化，融合传统证券技术分析方法，使用本文提出一种混合训练算法，建立基于人工神经网络的股价预测模型，并对部分大盘股、个股的收盘价进行预测，评价预测模型的有效性。

On the basis of these, it is analyzed the factors that affect gas consumption, and is brought forward the methods of gliding average and trends joint, in order to pretreat the historical data of long and short term...

对于天然气长期消费预测，采用线性回归预测法和BP神经网络预测法进行预测，通过VB编程计算比较，BP神经网络预测法最好，预测精度范围在1.01％—8.23％。

We will see more and more activist government policies that distinguish economic activities according to the nationality of the actors.

我们将看到越来越多激进的政府政策，这些政策根据企业的国籍来区分经济活动。

If we can prove the independence of an axiomatic system, then we can guarantee the conciseness of this system, ie.

如果能够证明某个一阶谓词系统的独立性，那么就能够保证该系统的建立是精炼的，即没有任何一条公理或推理规则是多余的。