线性方法

首先，由局部线性方法给出初始值，然后，通过平均初估计定义了函数的平均估计；

The averaged estimation of function is defined by averaging the sample on the initial value obtained by a local linear technique .

利用广义线性方法定位家畜抗性等级性状的QTL

Mapping Quantitative Trait Loci for Ordinal Traits of Disease Resistance Using Generalized Linear Method

Lyapunov不等式的最佳解与一般线性方法的可行性

Optimal solution of Lyapunov inequality and feasibility of general linear methods

通过对某大桥混凝土腹板裂缝采用非线性BP神经网络方法技术进行综合检测，其结果验证正确，证明了该方法技术的有效性，且较常规的线性方法技术有着更高的精度和可靠性。

Through adopting nonlinear BP neural network method technology measure synthetically some bridge concrete web cracks , the result is verified correctly . This proves the validity of this method technology which has higher precision and dependability than the routine linear superposition method .

针对电力系统非线性特性，采用反馈线性方法，以改善电力系统暂态稳定性为目标，应用线性二次型最优控制理论探讨了TCSC和发电机励磁系统的分散协调控制规律。

Aimed at the nonlinear characteristic of power system , a decentralized linear optimal coordinated control law about TCSC and excitation system of Turbo-generator is finally founded based on the feedback linearization method and linear quadratic optimal control theory .

利用T2分布，结合压汞资料，对核磁共振弛豫分布谱分别利用线性方法与非线性方法进行转换，通过对比，优选转换方法，并开展孔隙结构参数的定量分析研究。

Then based on the T2 distribution combined with mercury porosimeter conference , we use the linear and the nonlinear methods respectively to transform NMR relaxation distribution , compare the result and optimize the transformation method , and then research pore structure parameters quantitatively .

综述了各种地震定位方法的基本原理，重点介绍了Geiger的经典方法以及在此基础上建立的各种线性方法：联合定位法，相对定位法，和最新的双重残差法；

Some basic theories of various approaches to seismic location are discussed , especially the classic method attributed to Geiger and various linear methods based on it , i.e. , the joint hypocenter determination , simultaneous structure and hypocenter determination , relative location technique , and double-difference location algorithm .

一类非线性多延迟微分方程一般线性方法的稳定性

The stability of general linear methods for a nonlinear multi-delay differential equation

时标上非线性三点边值问题的拟线性方法

The nonlinear three-points boundary value problems on time scales

因此用一般的线性方法去研究它具有很大的局限性。

So there are many limitations in researching it with normal linear method .

非线性方法在证券预测中常可达到比线性方法预测更高的预测精度；

In these forecasting methods , the nonlinear method often can get a better forecasting accuracy than the linear method .

线性方法是一种完美漂亮的工具，用它来研究时间序列，有时可以得到令人满意的结果。

Linear methods are pretty good as a tool , which can find some satisfying results in studies of time series analysis .

采用拟线性方法，建立了纯方位多传感器系统目标定位问题的数学描述，并分析了系统的可观测性条件。

Using pseudolinear estimate method , the mathematical description for multiple stationary observers bearings-only localization system is established , and observability properties are investigated .

用局部线性方法给出未知函数的M-估计，用两步估计方法给出参数的M-估计。

The robust M-estimate of the unknown function is proposed by local linear method , and the robust M-estimate of the unknown parameter by tow step method .

这些数据的高维性、海量性、非线性和高增长性，使得传统的线性方法对其难以有效处理。

Its high dimension , large amount , nonlinear and quick growing rate make it difficult to deal with the data effectively by the traditional linear methods .

通过具体的碰摩故障诊断实例，对比分析了经典线性方法的局限和多尺度非线性方法的优势。

Based on the specific diagnostic cases of impact-rub fault , the limitation of classical linear method and the advantage of multidimensional method are analyzed by comparison .

分别使用频域线性方法与时域非线性方法对该实例平台的运动进行预报，分析比较两种方法预报结果的异同。

Use Frequency Domain Linear method and Time Domain Non-linear method to predict the motion responses respectively then compare the different prediction results calculating by the two methods .

本文利用非线性理论结合常规线性方法对油气藏的地震特征参数进行提取，并对这些特征参数进行压缩，实现降维，从而得到更能刻画储层的少量参数；

In this paper , we extracts some features from seismic data using nonlinear method and linear method , and compressive these parameters , and we got less feature parameters .

对训练组而言，线性方法和神经网络法的平均预测误差分别为159%和114%；

For the training set , the percentage errors between the experimental and predicted values of BOD are 15.9 % by the linear regression analysis method and 11.4 % by the neural network approach ;

同一混合方法，在内向量的不同选取下，定义了不同的一般线性方法，因而它的代数稳定性是与内向量选取有关的。

We can define the different general linear methods under the different choices of internal vector with the same hybrid method , thus , the algebraic stability of hybrid methods is dependent on the choice of internal vector .

CT值线性评价方法

Evaluation method of CT number linearity

一种计算AHP权重的两阶段线性规划方法

Two-stage linear programming approach to estimating weights in AHP

并基于多元线性回归方法和因子分析法探讨了林业用地以及气候因子对中国森林植被碳储量的影响；同时，结合生物地球化学循环模型CENTURY模型评估了中国森林生态系统的碳收支。

Multiple linear regressive model was used to study the response of forest vegetation carbon storage to the changes of forest land use and climatic factors .

TM影像分类领域多分类器线性组合方法及差异性度量研究

Combining methods and diversity measures in multiple classifier systems for thematic classification of landsat TM images

本文利用线性规划方法建立解决大型工程项目土方调配的一般数学模型，进一步提出使用matlab优化工具箱解决复杂线性规划问题的方法。

To deal with earthwork balance of large projects , The paper use matlab optimization toolbox to solve problem about complex linear programming .

利用线性抽样方法重建Dirichlet边界条件声波散射区域

Linear Sampling Method for Reconstructing the Acoustic Scattering Region with Dirichlet Boundary

在研究基于最小二乘理论的多维力传感器静态线性解耦方法的同时，提出了一种基于BP神经网络的静态非线性解耦方法。

The least square theory-based static linear decoupling method is studied , and a new static decoupling method based on BP artificial neural network is proposed .

仿真化运行时，基于BP神经网络的模型能对油罐故障的可信度值做出与目标值一致的诊断，而线性回归方法则存在一定偏差；

Finally , according to the applications in Huangdao tank farm , it proves that the diagnostic system of the storage tank malfunction based on the BP network is effective and practical .

结果表明，采用非线性的BP神经网络方法其训练效果与预测效果均优于线性模型方法；

The accuracy of the model proposed was tested in four compounds , and it was shown that the non-linear model fitted by BP neural network analysis provides much better predictions than the commonly used linear models .

一种近期发展起来的线性变换方法称独立分量分析（ICA）。该方法能够从混合信号中分离出最独立的信号。

A recently developed linear transformation method is Independent Component Analysis ( ICA ), in which the desired representation is the one that maximized the dependence of the component .