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regression prediction meaning in English

回归预测

Examples

  1. The bilinear regression prediction model was established for estimating the composition of the mixtures , and method is simply and reliably and with good results
    应用两元回归模型可预测三元混合物的组成,方法简便、测量准确、可靠,相对误差小于5 % 。
  2. Accordingly , the thesis proposes four models for predicting the remaining life of concrete bridges , which are regression prediction model , grey prediction model , improved grey model and neural network model
    为此,论文给出了桥梁结构剩余寿命预测的四种模型,即回归预测模型、灰色预测模型、改进灰色模型和神经网络预测模型。
  3. ( 4 ) the applications of bp neural network prediction gm ( 1 , 1 ) prediction of new information with the same dimension non - linear exponential regression prediction in regional social - economic indexes are discussed in this paper
    ( 4 )探讨了bp神经网络预测、灰色gm ( 1 , 1 )等维新息模型预测和非线性指数回归预测等方法在区域社会经济指标预测中的应用。
  4. For the information construction , a improved back - propagation artifical neural network is used to predict the level displacement and lateral displacement of timbering stake . nonlinear regression prediction of deformation has been achieved
    为了做到信息化施工,以改进的bp人工神经网络为基础,建立了支护桩水平位移和侧向位移的预测模型,实现对基坑变形的非线性预测。
  5. The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models , the results show : the backpropagation ( bp ) , radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings , independent sample test , actual prediction ability
    ( 3 )运用线性回归预报方程和三种人工神经网络模型对福建汛期旱涝进行预测的实验表明: bp 、径向基( rbf )和elman这三种人工神经网络模型在历史样本拟合精度上、独立样本检验结果和网络模型的实际预测能力上都明显优于传统的线性回归方法。

Related Words

  1. complete regression
  2. antitonic regression
  3. inertia regression
  4. regression region
  5. regression design
  6. regression rate
  7. linear regression
  8. robust regression
  9. regression matrix
  10. spline regression
  11. regression phonemic
  12. regression plane
  13. regression rate
  14. regression region
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