回归

Chapter six enunciates the design for separate modules of the data processing system. Phases straight lines model and not straight lines model based on BP are used to correct the physical parameters and eliminate deflection. The least-square is used to calculate the efficiency of generators.

在物理量校准中利用分段直线回归和基于神经网络的非线性回归，对模拟量进行了非线性在线校正来消除误差；在发电机效率计算中利用最小二乘法实现了发电机效率回归。

At last, the research test the logistic regression model with sample dada. The results are as the following:(1)Based on the time series dada, the financial early-warning model contains more crucial information reflecting the dada characters, so it can avoid the obvious logic problem in the other analysis such as single section dada and multi-section dada analysis. The test result indicate that the new model have a more accuracy than others.(2) the research adopt the global principal component analysis to settle the problem of multiple collinearity, so the model would be more normative and precise.(3)the early-warning model uses the backward method to regress, so it gets a terser model of only five variables, but it still has a precise forecasting ability.

通过本文研究说明：（1）建立以时序数据为基础的财务危机预警模型，提高了样本中重要财务趋势特征的信息含量，从而克服了国内外单截面及多重截面分析中普遍存在的明显逻辑问题，检验结果表明，利用时序数据建立的logistic财务危机判别模型较截面数据基础模型的判别准确率要高；（2）采用全局主成份分析方法解决了模型中因子间的多重共线性问题，这一处理使logistic回归方法应用的规范度和严谨度得到明显改善；（3）我们采用向后逐步回归的办法进行回归，使模型大大得到了简化，其中只包含五个自变量，但是它的整体预测准确性却仍然比较高，使模型更具有实用性。

Simulated regression analysis showed that the exponential increase of MDA content, plasmamembrane permeability, auto-oxidation rate of the organ and O2 produc-tion rate and parabolic decrease of SOD activity and GSH content as well as the logarithmic decrease of CAT activity in the stressed leaves were found with the decrease of soil water content....

经回归模拟显示，蔗叶MDA含量、质膜差别透性、O_2产生速率和组织自动氧化速率均随土壤含水量的降低呈指数增加，SOD活性和GSH含量呈抛物线变化，而CAT活性呈对数降低；逐步回归分析定量地指出了水分胁迫下蔗叶SOD和CAT在清除活性氧、防止膜脂过氧化和质膜破坏中的协同作用关系，且受O_2产生的影响；经卡方测验证实，该回归模型各参数与大田干旱胁迫的实际结果相符。

Results analysis of data indicated a significant positive correlation among the refraction dioptres of myopia and axis length,vitreous length of eye (standardized coefficients are 0.909 and 0.803,respectively). multiple linear regression analysis of the data showed that vitreous length was the main factor to affected the formation and development of myopia diopter.

结果 眼轴长度（标准化回归系数b'j =0.909）及玻璃体腔长度（标准化回归系数b'j =0.893）均与近视屈光度呈显著正相关；用逐步回归多元线性分析法分析玻璃体腔长度、晶体厚度及前房深度各屈光要素，其中玻璃体腔长度对眼轴长度的影响最大。

SPSS 11.5 software package were applied to analyze the data. Results Analysis of data indicated a significant positive correlation among the refraction dioptres of myopia and axis length,vitreous length of eye (standardized coefficients are 0.909 and 0.803,respectively).

结果 眼轴长度（标准化回归系数b'j =0.909）及玻璃体腔长度（标准化回归系数b'j =0.893）均与近视屈光度呈显著正相关；用逐步回归多元线性分析法分析玻璃体腔长度、晶体厚度及前房深度各屈光要素，其中玻璃体腔长度对眼轴长度的影响最大。

With nonlinear regression analysis on each factor and multi- variates l inear regression on collectivity, this paper gives a mixed regression model.

通过先行建立每个影响因子的非线性回归。型，然后作总体线性回归。，首次给出了用混合回归模型预报赤潮的方法。

The application of multivariate linear regression'and univariate multipower regression to research and manufacture of new products is introduced.

论述了多元线性回归和一元多次方回归在新品研制和生产实践中的应用；编制了程序，能自动拟合回归方程。

Finite element method and nonlinear regression method is used to discuss the relationship of Y shape steel tube joint's local translational displacement and local translational stiffness to the ratio between the width and the thickness of main tube, ratio of width and thickness between branch tube and main tube and included angle between branch tube and main tube's the axial directions.

本章分析了Y形方管节点的平动位移和平动刚度随主管宽厚比、支主管宽度比、支主管厚度比和支主管轴线夹角等参数的变化关系，并从各回归方程及回归系数的显著性检验可知回归方程的准确性。

The main contents are as follows:Firstly, starting with the general situation of soil erosion and the harms caused by it, the causes leading to the local soil erosion problem are analyzed comprehensively in the paper. And connecting with the measures taking place, sticking points towards the career of soil and water conservation are expatiated upon.Secondly, Back-Propagation Neural Network, One of Artificial Neural Network is used to set up a modal about the connection of the soil erosion modulus and seven factors impacts on it, such as, rainfall, rainfall largest intensity in 30 minutes, runoff coefficient, vegetation cover percent, rate of granule, rate of physical viscidity-clay, the rate of organic matter. Through the comparison with linear regression model, the second regression model, the Chinese Soil Loss Equation, it illustrated that BP Neural Network modal is more accurate than the other three modals in forecasting the mount of soil erosion, and the BP Neural Network will have some applicability in forecasting in soil erosion.

本文以霍山县作为皖西大别山区的典型区域，主要研究了以下内容：(1)从介绍霍山县土壤侵蚀状况以及所造成的危害入手，全面分析了导致当地土壤侵蚀发生的原因，并结合当地采取的水土保持相关措施，阐述了当地水土保持工作的症结所在；(2)结合上土市水土保持试验站多年实测资料和2005年实验资料，应用BP神经网络理论，建立了次降雨土壤侵蚀量与次降雨量、最大30min雨强、径流系数、植被覆盖度等因子之间关系的模型，并通过BP神经网络的预测模型与一次回归模型、二次回归模型、CSLE模型之间的对比分析，说明了建立的BP神经网络模型在土壤侵蚀预测可以取得较回归模型和CSLE模型更高的精度，也说明了BP神经网络理论在土壤侵蚀预报中具有一定的适用性。

However, the mathematical study of the geology of this area is still lacking. On the basis of geological field survey, we have made systematic sampling and geochemical analyses of the rocks, and systematically studied the relationship between the Cu-Ni variable and the rock-forming element variables by the method of multi-variate...

文中在系统的野外地质调查基础上，进行了系统采样和岩石地球化学分析，应用多元线性回归和逐步回归分析相结合的方法，借助SPSS数学统计软件系统的研究Cu-Ni变量与造岩元素变量的关系，建立Cu-Ni变量与其他变量的回归方程，验证与解释白石泉Cu-Ni硫化物矿床的成因、岩浆来源等问题，对指导找矿勘探有重要作用，对应用数学地质方法有指引作用。

What are your goals and strategies for growth?

你的成长目标和策略是什么？

And unto the angel of the church in Sardis write; These things saith he that hath the seven irits of God, and the seven star I know thy works, that thou hast a name that thou livest, and art dead.

3：1 你要写信给撒狄教会的使者，说，那有神的七灵和七星的，说，我知道你的行为，按名你是活的，其实是死的。