Abstract : applying the theory of linear and nonlinear regression , the mathematical model of the intelligent measuring system of the flow of asphalt , which describes the relationship among volume coefficient , temperature and relative density of asphalt material is studied . the nonlinear mathematical model for this relationship is set up and the precision of the model is brought up 文摘:应用线性及非线性回归理论对沥青流量智能测试系统的数学模型沥青材料的体积系数与温度及相对密度的相关关系进行了研究；建立了该相关关系的非线性数学模型，并给出了模型的精度
A study and experiment on severe rainfall with numerical weather forecast in ningxia using geostationary meteorological satellite infrared data in order to improve the ability of torrent rainfall forecast in ningxia , which locates in northwest of china with an arid climate , the relationship between geostationary meteorological satellite infrared data and summer hourly precipitation in ningxia was analyzed , the geostationary meteorological satellite infrared data were applied to retrieve the relative humidity at medium and low layers of atmosphere 强降水预报是中尺度数值预报的难点之一。为了提高数值预报模式对位于中国西北干旱地区宁夏的强降水预报能力，本文研究了地球同步气象卫星红外资料与宁夏夏季逐时降水的关系。应用地球同步气象卫星红外资料，通过优选人工神经网络和最优拟合后的非线性回归这两种非线性方法，反演了宁夏自地表到300hpa不同层次的相对湿度。
So it is proved that the working model is right , and on the basis , the influences of the compression ratio and fuel injection advance angle on the diesel engine ' s combustion performance are studied . ( 2 ) energy resource and environment protection are two important problems that diesel engine is faced with . so in this paper the constrained optimization is studied in order to decrease fuel consumption within the limitation of the regulation on exhaust emission and power output ( 2 )能源和环境保护是柴油机存在和发展的两大问题，因此本文在满足排放法规及柴油机动力性的基础上，以降低油耗为主要研究目标，进行有约束条件的优化计算，并提出了一种新的柴油机工作过程优化计算方法? ?非线性回归?网格法。
Abstract : a new technology is put forward for vibration drilling under changed parameters of three cutting regions for machining micro holes . a new method is probed with which optimal vibration parameters of the stages are determined by non - linear regression . present investigation shows that the new method for vibration drilling , in which vibration parameters are changed with the optimal parameters of the stages , is an effective way to decrease error of drilling micro holes 文摘:提出了三区段变参数振动钻削微孔的新工艺；探讨了用非线性回归求取各区段最佳振动参数的方法；验证了以三区段最佳振动参数做变参数时，用振动钻孔可以全面降低微孔加工误差的优良工艺效果。
We select ni / cr alloy resistor as element together with ceramic embedding hearth ; select small flat - and - disc heat - even hubby ceramic sample holder , select ni / cr & ni / si thermoelectric couple ( type k ) as thermoscope with threads 0 . 5 mm in diameter which is installed in the middle of the holders symmetrically ; select aluminum silicate fire - retardant fiber as materials for heat preservation ; design some hardware , for example temperature controller & transporter , signal amplifier etc ; design controlling curve to heat stove ; and introduce the method of least squares nonlinear regression and subsection function to deal with data . in order to obtain the reasonable operation conditions and operation curve , we have also done many theory analysis and experiment discussions 通过理论和试验探讨，选用镍铬合金电阻丝作为加热元件，配以陶瓷质埋入式炉膛；选用陶瓷质小尺寸扁平?圆盘均热块体型样品支持器；选用0 . 5mm丝径镍铬?镍硅热电偶( k )作为测温元件；热电偶对称安置在样品支持器容器的中部；选用硅酸铝耐火纤维作保温材料；合理选用和设计了温度控制器、温度变送器、信号放大电路等硬件；采用升温曲线来控制炉膛供热过程；采用最小二乘法非线性回归与分段函数相结合的曲线模拟方法，进行图形处理。
The pattern recognition method of pipe mfl signals is put forward , the features of signals are extracted from the recorded flux leakage response and characterizing definition is introduced as well ; the main - part analysis , nonlinear regression , statistical methods are studied and used to establish characterization and compensation algorithms , the quantitative estimation of defect geometry and the result accuracy are accepted 引入了缺陷漏磁信号的模式识别方法，提出了缺陷漏磁场及缺陷外形尺寸的特征量；实现了用主成分分析、多元非线性回归和统计识别分析等方法对缺陷漏磁信号波形进行特征提取和定量识别，精度在误差准许范围内。
In the subsequent chapter , the properties of concrete are predicted by using neural network that can be used to carry out nonlinear regression with multi - factors , and a predicting neural network model is founded with the mass of composing - materials as input and the strength of concrete as output 在本文的后半部分，作者采用了能够进行多因素非线性回归的神经网络方法对混凝土的力学性能进行分析预测，以混凝土中的各组分质量为输入，混凝土强度为输出建立了不锈钢纤维渣混凝土的预测模型。
Nowadays , many classification methods and some prediction technologies have been put forward , such as classification by decision tree induction , bayesian classification , classification by backpropagation , k - nearest neighbor classifiers , linear and nonlinear regression . however , none of them is better than others in all application 在这一研究方向，目前已提出了多种分类方法（如决策树归纳分类、贝叶斯分类、神经网络分类和k -最邻近分类等）和一些预测技术（如线性回归、非线性回归等） 。
Using multi - sensor technology , some parameters affecting the measurement of water content of crude oil are measured , and prediction models of water content of crude oil based on the methods of multivariate nonlinear regression and artificial neutral networks are presented , and then being improved by subsection modeling 摘要通过多传感器技术对原油含水率测量有影响的多个参量进行测定，提出基于多元非线性回归和神经网络融合处理两种方法建立原油含水率预测模型，并采用分段建模的方法分别进行改进。
The model employs advanced linear programming technique , including the device to distribute the material to downstream automatically , nonlinear recursion , modeling and auxiliary function of data , and advanced distribution recursion , which can describe enterprises producing and management course accurately , perfect the function of enterprises management system , and promote enterprise ' s management level 模型采用先进的线性规划技术，包括自动将物料质传递到下游装置、非线性回归、建模和数据辅助功能及先进的分散式回归，可以准确描述企业的实际生产经营过程，该完善企业管理系统的功能，提升企业管理水平。
