• 基础上,建立了最小方差损失函数,并结合高斯·牛顿预测误差方法提出稳定的,高性能的在线复频率直接估计算法

    A cost function is presented, and by applying Gaussian-Newton type recursive prediction error based method, a stable and efficient online frequency estimation algorithm is derived.

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  • 随机森林R显示预测误差()如果因素水平出现测试数据。有什么方法可以避免这个错误?。

    Random forest package in R shows error during prediction() if there are new factor levels present in test data. Is there any way to avoid this error?

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  • 方法处理不同误差干扰,进行有效数据预测防止数据丢失数据错误

    This method can deal with different errors and make an effective data prediction to avoid the data losing and errors.

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  • 提出利用线性预测误差去除语音中的加性噪声方法

    It presents a new method on reducing additive white noise in speech signal using linear prediction error.

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  • 镗孔加工尺寸误差预测补偿控制镗孔加工尺寸分散度保证零件互换性一种经济有效方法

    Dimension error prediction and compensation for boring is a cost effective method to control the dimension distribution and maintain part exchangeability.

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  • 由于问题本身复杂性、影响因素的不确切性、特别是预测方法局限性,使得目前需水预测误差较大

    But the complexity of the problem, the indefinite of the factors and especially the limits of the predicting method made large error between the prediction value and the reality.

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  • 针对于目前地磁传感器测量精度较低,将信息直接用于飞行器再段定误差较大问题,提出了一在线预测进行定高的方法

    Against the big error of height determination for the reentry vehicle because of the information provided by low precision geomagnetic sensor, a novel real-time prediction method is proposed.

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  • 提出一种用于农用运输车设计预测燃料经济性有效、简易方法,经计算验证试验结果误差较小

    A simple and convenient method to forecast the fuel consumption of farm transporter in design is put forward. The error between the calculating and verification testing result is less.

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  • 仿真结果表明,广义预测控制方法能够有效减小跟踪误差,从而实现精确地形跟踪

    Simulation results show that the tracking errors can be reduced efficiently and accurate terrain following can also be achieved when the generalized predictive control method is introduced.

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  • 由于考虑几种方法获得结果权重因此减小预测误差提高预测准确性一种值得推广预测方法

    It can reduce the forecasting error, improve the forecasting accuracy as it has considered the weights obtained by several methods. Therefore, this forecasting method is worth spreading.

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  • 为了预测快速探测过程产生动态误差,提出了基于有限元分析的虚拟坐标测量方法,有限元分析过程的自动执行其关键组成部分。

    The method of Virtual -coordinate Measuring Machine (Virtual -cmm) based on finite elements analysis is the effective way to predict and compensate dynamic errors in fast probing.

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  • 由于考虑几种方法所获结果的权重,因此减小预测误差提高预测准确性一种值得推广的预测方法

    It could reduce the forecasting error, improve the forecasting accuracy as it has considered the weights of several methods. It is a spreadable forecasting method.

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  • 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

    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.

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  • 利用BP网络以及RBF网络方法分别进行动态误差建模预测

    Two kinds of methods, BP network and RBF network, were used to model and predict for the Dynamic Error.

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  • 结果表明近似预测误差程度利用计算机构造虚拟结构的方法获得广义一化函数宽度相吻合

    Results show that errors of the approximate method are in agreement with the width of normalized function band obtained based on simulation.

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  • 通过误差分析实际应用证明关联分析BP网络结合起来开展瓦斯涌出预测一种可行方法

    The error analysis and practical use show that combining relating analysis method with BP network method to predicting gas gushing quantity of mining faces is a feasible method.

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  • 外汇汇率问题进行模型构造预测的结果表明,方法预测误差明显减小

    We build models and make predictions for the currency exchange rate, the prediction errors of adaptive modeling method decrease.

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  • 最后结合嵌入理论预测误差提出基于嵌入技术确定预测误差混沌时序预测方法

    Finally, connecting embedding theory with prediction errors, we propose a new prediction method to chaotic time series based on embedding technique and prediction errors on tested sets.

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  • 文章预测方法进行误差分析,并对这两种方法预测结果进行了比较

    Both the errors will be analyzed and the result of them will be compared in the paper.

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  • 减小城市交通需求预测由于土地使用分析方面造成误差提出一种基于城市区位差异分析的新的改进方法

    To reduce the error that comes from the analysis about the land use, authors put forward an improvement based on city location difference.

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  • 本文分析低码率压缩码流运动矢量以及误差曲面性质基础提出一种基于时空预测快速运动估值方法

    In this paper, based on the analysis of the characteristics of error surface and motion vector field, we propose a fast search strategy for motion estimation is proposed.

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  • 结果表明,通过模拟方法可以预测组合流道在挤出过程中的熔体充满长度误差为7

    It showed that the melt filled length could be forecasted through the flow field simulation, with an error 7.

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  • 通过各种预测方法特点的分析比较,得出用灰色模型预测方法作为地区电力负荷中期预测方法,且方法误差小、精度高。

    By analyzing and comparing various prediction methods and their features, gray model prediction method can be used for predicting the medium-term regional electrical load.

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  • 预测滤波器一种基于非线性系统模型的滤波方法通过使输出一步前预测误差最小来估计模型误差,具有较高的估计精度

    The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.

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  • 结果表明小波神经网络方法传统BP网络方法平均预测误差减小了1%,收敛速度加快了3

    It is shown that, compared with the results from traditional BP neural network, the average error rate is reduced by 1% and the convergence speed raised by 3 times.

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  • 快速评估不同构型的可重构加工系统零件质量,提出一种基于误差传递模型尺寸偏差预测方法

    To efficiently evaluate design reconfigurable machining system performance such as quality, a model-based method was proposed to predict part dimensional variations.

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  • 传统预测方法往往忽略国民经济宏观环境影响,存在突变误差较大抗干扰能力不足

    Most of the traditional forecasting methods that ignore the influence of national economy macro-environment have the inadequacies of the unexpected errors and weak anti-jamming capability.

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  • 经济预测发生主要影响因素改变采用通常预测方法会因历史数据过少而出现较大误差

    When some main fac tors change, there is uncertainty in economic forecast if the forecast method is used as usual.

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  • 与随机时间序列分析方法预测结果比较神经网络方法可以提高预测精度预测误差也呈现出季节发生变化的规律。

    Compared to the prediction results of time series method, the prediction results of ANN method are of higher precision. The prediction errors varied with seasons.

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  • 与随机时间序列分析方法预测结果比较神经网络方法可以提高预测精度预测误差也呈现出季节发生变化的规律。

    Compared to the prediction results of time series method, the prediction results of ANN method are of higher precision. The prediction errors varied with seasons.

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