• The research method can be applied to the predicting precision of other NC machine tools.

    该研究方法可以用于其他切削加工方式的加工精度预测。

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  • The calculation results show that some improvements of the predicting precision have deen achieved.

    计算结果表明,预测精度均有不同程度的提高。

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  • Predicting precision of the networks was improved obviously compared with LR model and basic BP networks model.

    与线性回归模型及原bp网络模型相比,预测精度有了明显的改善。

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  • It is proved by prediction of test sample that predicting precision is prior to traditional predicting methods such as critical value method and so on.

    通过对检验样本的预测表明,预测精度要优于临界指标法等传统预测方法。

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  • Thickness predicting precision was improved. A new precise and high efficiency way for cold continuous rolling exit thickness prediction have been provided.

    冷连轧生产出口厚度预报精度大为提高,为冷连轧出口厚度预报提供了一条准确高效的新途径。

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  • Part two: This paper analyzed the degree of predicting precision affected by decomposing scale coefficient of wavelet cycle model and various kinds of reservoir inflow runoff series.

    第二部分,本文分析了小波周期模型的分解尺度数和各种不同入库径流序列对模型预测精度的影响程度。

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  • It used the new method of experimental design method-uniform design. Its characteristic is less times of experiment, high reliable regress equation and improved predicting precision.

    使用了试验设计方法中新的方法—均匀设计,其特点是试验次数少,回归方程可靠度高,预测准确度高。

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  • Off-line forecast shows that fuzzy neural network has high precision in predicting metal plastic deformation resistance.

    离线预报表明:模糊神经网络预报金属塑性变形抗力有较高的精度。

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  • It is proved by theory and practice that this model is of higher precision on simulating and predicting dynamic process of soil soluble salts for a longer period of time.

    经理论和应用检验证明:该模型能以较高的精度模拟或预报土壤盐分在较长时期内的动态变化过程。

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  • Compared with traditional forecast method in fire forecast, digital image processing method can improve the precision of predicting, shorten predicted time, offer more abundant fire information etc.

    数字图像处理实现火灾预报与传统的预报方法相比可以有效地提高预报精度、大大缩短预报时间、提供更丰富的火灾信息等。

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  • The results show that the new model not only simplifies the establishing process of the predicting model but also improves the precision and speed of prediction.

    结果表明,文中所建立的新模型不仅降低了建立预测模型时的工作量,而且提高了预测精度与速度。

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  • The predicting results indicate that the model proposed here can gain high precision, which provide a new way for settlement prediction of roadbed construction in soft ground.

    预测结果表明,该模型具有很高的预测精度,为预测软土地基路基填筑施工引起的沉降提供了一种新的方法。

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  • This comprehensive method avoids the multi-explain resulted from applying single technique, promotes the precision in predicting similar oil and gas reservoirs, then reduces the drilling risk.

    该套综合分析方法避免了单项技术分析的多解性,可以提高同类油气藏储层预测的精度,从而降低钻探风险。

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  • The prediction precision and the ability of noise elimination are improved by introducing space distance of central point as fit parameter into predicting process.

    将中心点的空间距离作为一个拟合参数引入预测过程,提高了预测精度和消噪能力。

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  • The precision of stack velocity and interval velocity provided by common NMO correction processing method can't meet the need of predicting the pre-drilling press.

    常规动校正处理方法提供的叠加速度及层速度精度不能满足钻前压力预测的需要。

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  • Accordingly, the method of permeability predicting by means of artificial neural network can already guarantee the exactness of overall data and improve the precision of permeability predicting.

    应用人工神经网络预测渗透率的方法,既可保证数据总体分布的正确性,又可提高渗透率预测的精度。

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  • Through establishing the predicting GM model of corrected residual error, on-line prediction of the target track could be realized in real time, and thus could improve the prediction precision.

    该方法通过建立等维新息残差修正GM预测模型,实现了航迹的实时在线预测,从而提高了预测精度。

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  • When predicting oil production for one calendar year, the method should be picked according to the corresponding development age and combined with reserve prediction to improve the precision.

    在年产油量预测时,要根据所处的开发阶段选择合适的方法,同时应与可采储量预测结果有机结合,以提高预测的可靠程度。

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  • The comparison analysis shows that HWCM has higher precision than HCM in predicting slope stability.

    对比研究结果表明:系统加权聚类法应用于滑坡稳定性预测,其预测精度有较大提高。

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  • The model has higher fitting precision and good extrapolating performance, so it can avoid the limits of other predicting methods.

    该模型具有较高的拟合精度和良好的外推预测性能,可避免其它预测方法的局限性。

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  • The precision of the presented method is higher than the traditional method in predicting generalized time-varying ARMA series.

    大量计算表明,本文方法与传统方法相比,具有更高的预测精度。

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  • This research is useful in predicting of the hydrodynamic performance and in enhancing the prediction precision of the propeller by using High-Order Surface Panel Method.

    本论文的研究为高阶面元法预报螺旋桨的水动力性能打下了一定的基础,对进一步提高面元法预报的精度具有一定的实用意义。

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  • Function simulation are used to analyze the influence on model precision of these methods, and positive analysis of predicting dispute resolution satisfaction is conducted.

    通过函数仿真分析了不同的数据预处理方法对神经网络模型精度的影响,并通过建筑项目争端解决满意度预测问题进行了验证。

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  • The result shows that much better prediction precision has been gained compared with GM(1,1). It gives a new way to fitting, predicting and decision-marking of environmental system.

    结果表明GPPM(1)模型的预测精度优于常规灰色GM(1,1)模型,它为环境系统的拟合、预测和决策提供了新的方法途径。

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  • The methods to enhance the modeling precision for the universal GM(1,1) applied to predicting the development of a mechanical pump based on vibration features were studied.

    建立了基于机械系统振动特征量的时间序列趋势预测GM(1,1)并进行了后验差精度检验;

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  • In order to improve the precision, a new method predicting turbine performance by means of quasi 3-d flow analysis is presented.

    为了提高涡轮性能预测的精确度,提出了一种应用涡轮叶轮准三元流动分析的预测方法。

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  • The precision of this method in predicting study is theoretically analysed and verified, it is shown that this method presents good applicability and great accuracy.

    同时,对用此法进行预测的精确性作了理论分析和验证,说明此法具有较强的实用性和较高的预测精度。

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  • The experimental results showed that the precision of predicting values depends directly on the type of samples without relation to initial weight.

    结果表明,模拟的精度与样本集类型有关,而在一定置信区间与初始权值无关。

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  • The practical application demonstrates that the predicting model is reliable and its precision is enough to meet the practical usage.

    实际应用表明,预测模型可信,精度能满足要求。

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  • It has also been validated to have high precision and reliability, the maximal single part predicting error is 4.8%.

    通过试验验证了该系统的精度和可靠性,单项最大预测误差为4.8%。

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