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1)  rock parameter prediction
岩体参数预测
2)  standstone body and parameter prediction
砂体及参数预测
3)  parameter prediction
参数预测
1.
By comparing the prediction results of GM(1,1) and BP neural network, the combination of GM and neural model is feasible in oil spectral analysis parameter prediction, which can overcome the deficiency of single model and get good effect.
通过比较GM(1,1)模型、神经网络模型的预测结果,融合GM(GreyModel)模型与神经网络模型并构建组合模型进行油液光谱分析参数预测,可以克服单个模型所存在的不足。
2.
Parameter prediction models (PPM) and parameter recovery models (PRM) were developed based on the three Weibull distribution parameters and stand attributes.
在Weibul三参数及林分因子的基础上,建立了参数预测模型和参数回收模型。
3.
The system can realize such functions as parameter prediction binaural auralization and model visualization and therefore it can help the acoustic consultants to know a virtual sound field from not only vision, but also acoustic indexes and hearing which will lead to the best design plan.
该系统可以完成声场参数预测、双耳可听化以及模型可视化等功能。
4)  parametric estimation
参数预测
5)  prediction parameter
预测参数
1.
To reasonably determine prediction parameters in a surface subsidence model for an underground non-bedded shape room environment,the internal relations between prediction parameters and underground room shapes were analyzed based on the principles of surface subsidence.
为了合理确定非层状地下空间环境条件下地面沉降预测模型中的预测参数,基于地下空间围岩破坏机理及地面沉降规律,分析了预测参数与地下空间形状之间的内在联系,探讨了预测参数的变化规律,并导出了预测参数的计算公式。
6)  parameter estimation
参数预测
1.
A method of estimating the thermal properties from the transient experiment based on the solution of the nonlinear inverse problem of parameter estimation by using the Levenberg-Marquardt iterative procedure was presented.
参数预测结果表明,方法对基于瞬态实验方法进行热物性预测具有良好的适应性,并适用于分析多类热传导逆问题,该方法还能为优化实验提供有效信息。
补充资料:发育进度预测法(见发生期预测)


发育进度预测法(见发生期预测)


  发育进度预测法见发生期预测。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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