• The results of application of PPR model to the precipitation prediction in three regions are better than that of stepwise regression for fitting and prediction.

    三个地区应用ppr进行降水量预测建模、模型拟合预留预测检验结果逐步回归建模相应结果。

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  • The simulation results from function fitting and time series prediction indicate that UGEP performs better than other similar algorithms in each of experimental.

    试验结果也证明求解函数拟合时间序列预测实际问题时,对比同类算法UGEP算法体现出了较大优越性。

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  • This paper presents a new method based on Attribute Theory and Bernstein Basic Function fitting after thorough study of stock investment and prediction technology.

    本文深入分析股票投资理论股价预测方法基础提出了利用属性方法和波恩斯坦函数拟合技术的股市预测算法。

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  • The results indicate that the prediction quality of the whole model and the fitting degree between the predicted results and measured values are satisfactory.

    试报结果表明整个模式预报性能试报结果实测吻合程度令人满意的。

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  • The double fitting is introduced both to improve the accuracy of the prediction and to achieve the continuous model.

    由于建模过程中采用了双合,不但实现了模型连续化而且提高预测精度

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  • When the condition changes, fitting degree of observed data and prediction accuracy of the model are enhanced through rolling optimization and modifying model parameters.

    工艺状况发生改变时,通过模型滚动优化修正模型参数来提高模型对实时观测数据拟合程度预测准确性

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  • The Molecular Interaction Volume Model(MIVM) is introduced for the prediction and fitting of the activities of liquid alloys Ni-Mg-Cu, Ni-Al-Si and Ni-Cu-Co in the ternary systems.

    应用分子相互作用体积模型对二元三元液态合金组元活度进行预测拟合,计算结果与实验数据吻合较好。

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  • The error of the model is small and its performance is stable. The problem that error increases with the lapse of time existed in common fitting prediction has been overcome.

    模型误差稳定克服一般拟合预测误差时间推移增大缺点。

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  • The model is applied to the prediction of the mean annual amount of sediment in a river valley. The results show that the fitting precision and prediction precision are 90% and 75%, respectively.

    模型用于流域年均含沙量预测拟合率达90%以上,预留检验预报准确率为75%。

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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)模型预测精度优于常规灰色GM(1,1)模型,环境系统的拟合预测决策提供了新的方法途径

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  • It shows that the forecast result of Grey Markov prediction model has better fitting precision and correct dependability. It has certain general employing.

    结果表明,灰色马尔柯模型预测工作面瓦斯涌出量拟合精度好,结果正确可靠一定的普遍应用性。

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  • The proposed method can give more reasonable and more promising prediction results as compared with polynomial curve fitting technique.

    此外多项式曲线拟合法的对比分析表明,方法优于传统的多项式曲线拟合法,具有更好预测效果。

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  • The example showed that self-memory model, based on parameter optimization, advanced the adaptability and had a better fitting effect and prediction effect.

    实例研究表明基于参数优化的自记忆模型提高了自记忆模型的适应性具有更好合、预测效果。

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  • The example showed that self-memory model, based on parameter optimization, advanced the adaptability and had a better fitting effect and prediction effect.

    实例研究表明基于参数优化的自记忆模型提高了自记忆模型的适应性具有更好合、预测效果。

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