• To further improve the forecast accuracy of this model, and reduce its forecast error, I also improve the BP NN in this article.

    为了进一步提高模型预测准确度减小预测误差,本文BP神经网络进行改进

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  • The experiments about a typical piston indicate that this forecast error control method can increase the turning precision clearly.

    典型零件车削实验表明方法有效地提高非圆活塞裙部的加工精度

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  • Compared thermodynamic and kinetic predicting model with the experimental results separately, the paper shows that the forecast error is small.

    热力学动力学模型预测实验结果对比均表明,模型预测误差较小

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  • Similar results have been achieved in Denmark, where the next-day forecast error has been reduced from 36% to 18-20% over the past ten years, says Mr.

    丹麦也获得相似结果过去年里,丹麦第二预测误差已经36%减少18%- 20%。

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  • Forecast error fell to 9% from 15%, on-time deliveries rose to 93% from 85%, and the company expanded the program to other distributors and to customers of raw materials.

    预测误差由原来的15%至9%,按时交付率85%上升至93%,并且公司还把该项目扩展其他经销商原材料客户

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  • Because of super short-term load forecast error, ATC is changing with the adjustment of the generation scheduling by the object function that purchasing charge is least.

    考虑短期负荷预测偏差情况下,电费用变化量最小为目标函数重新调整发电计划,从而导致电网可用输电能力(atc)发生变化。

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  • The method of calibrating the nonlinearity of the instrument by using nervous network is investigated. The nervous network is trained by recurrence forecast error algorithm.

    探讨了采用神经网络校准仪器非线性方法,并用递推预报误差算法训练神经网络。

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  • Experiment results show that the new prediction method can control the rebound forecast error within a certain range, the compensate measures has been achieved good results.

    实验表明,本文采取回弹预测方法可以回弹预测误差控制一定范围内,采取的补偿措施在零件加工中取得满意效果。

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  • Some forecasting procedures sum the absolute values of the errors and may report this sum, or divide it by the number of forecast attempts to produce the average forecast error.

    一些预测程序总计错误绝对值而且可能报告总数藉着预测尝试数字分开生产平均的预测错误。

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  • This algorithm employed full-enclosing prediction based on a new high efficient sorting technique and results in a forecast error set after sorting, which could embed data with a low distortion.

    算法使用一种新的基于高效排序的全邻预测算法,经过排序以后形成预测误差集合可以低失真度的情况下嵌入数据

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  • The new stepwise regression method with minimum of forecast error is proposed in this paper. It is more simple, convenient, and easier used in microcomputer than the traditional stepwise regression.

    本文提出预报残差最小逐步回归方法作预报,较之传统的逐步回归具有计算简便适应小型计算机计算等优点。

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  • Practical examples prove its fast calculation speed , high forecast accuracy and small error variety.

    实践证明算法具有计算速度预测精度、预测误差变化等优点。

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  • The results show that, ANFIS is a powerful tool for modelling human error risks, it not only improves the forecast accuracy, but saves time.

    结果表明ANFIS对于失误风险评价来说一个强有力的工具不仅提高预测精度而且节省了时间。

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  • In this paper, the selection of weight facfor and the error in forecast based on experiment of rolling bearing are discussed.

    本文通过滚动轴承实验研究,分析了预测选择预测误差

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  • X direction average error of object tracing using Kalman forecast is analyzed, and track and search range are estimated.

    分析了采用卡尔预测进行目标跟踪引起误差、估计了运动轨迹搜索范围

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  • The rendezvous error between launch vehicle and target forecast is caused by separation point error of intercept.

    运载器弹道预测命中之间交会误差拦截分离点误差引起

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  • It's important to know what elements of the forecast are subject to error.

    知道预报部分容易出错是重要的。

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  • It also analyzed the reason which the error exists in the forecast, proposed the improvement measure.

    分析了预测误差存在原因提出了改进措施

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  • A variable that holds the error message in case an exception occurs when getting the forecast data.

    保存错误消息变量以防获取预测数据时发生异常

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  • The time sequence method which is quite valuable for use, is applied to the forecast and error analysis of daily water supply amount in Xiamen City.

    应用时间序列厦门城市供水量进行预测误差分析,具有较强实用价值

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  • The numerical experiment results show that the mean forecast relative error is 1.73% even with a simple strategies library.

    数值实验显示虽然策略比较简单,但其预测平均相对误差1.73%。

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  • The results validate more validity of nonlinear error correction model on the wavelet neural network than linear vector autoregressive model, and forecast validly the nonlinear economy system.

    研究证明,神经网络所建立非线性误差校正模型好的预测效果,能够有效地预测非线性经济系统。

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  • The average value of absolute error is 2.05% and the biggest error is 5.12% in the model of loom efficiency. The results indicate that ANN model has high forecast precision.

    对于织机效率模型预报误差绝对值平均2.05%,最大误差为5.12%,可知模型具有较高的预报精度人工神经网络对此模型的预报可行有效。

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  • On the foundation of the analysis and comparison of the error of the combination forecast and independent forecast, the paper has given the conditions of the former being least.

    分析比较组合预测单个预测精度(误差)大小基础给出了组合预测精度高于单个预测精度条件,并给出了组合预测的精度估计公式。

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  • The forecast accuracy was proved to be satisfactory with an error ratio less than 6%.

    检测模型的预测精度,结果显示误差小于6%。

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  • We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.

    一元非线性回归多元线性回归结合起来,构造一个混合回归模型这样减小模型残差平方和从而提高预报的准确性

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  • This paper analyzed the characters and rule of the satellite ephemeris error. It proposes the Model of the diagnosis and Forecast for the GPS broadcasting ephemeris error.

    分析GPS卫星误差影响特征规律提出广播星历误差影响诊断预测模型

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  • The model is used to analyze the relative error of forecast and to forecast the exploitable geological ore reserves of Miaogou Mine in 2007.

    通过运用数理统计中的回归分析方法确立采出矿石地质矿量预测数学模型,分析预测相对误差2007年采出矿石地质矿量进行预测。

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  • The model is used to analyze the relative error of forecast and to forecast the exploitable geological ore reserves of Miaogou Mine in 2007.

    通过运用数理统计中的回归分析方法确立采出矿石地质矿量预测数学模型,分析预测相对误差2007年采出矿石地质矿量进行预测。

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