查询词典 least squares

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

In this paper, the author propose an algorithm, called the least-squares despread respread constant modulus algorithm , combines the information of the spreading signal and the constant modulus property of the transmitted signal in the adaptation of the weight vectors.

本文介绍了利用CDMA信号的恒模特性以及用户已知的扩频码来确定2D Rake接收机的加权系数，使用这样一种综合技术构成的算法称为最小二乘解扩重扩恒模算法。

Principle of least squares,digital image segmentation,digital image treatment and digital image identifying were applied into the research of wood science in this research,the wood cell image of annual ring from annual center to wood edge was analyzed,the modified level set method was applied to segmentate cell image precisely for the first time,the identifying of wood cells and hexagon simulation for wood cells were accomplished with active contour model,which had important potential application value in deepening the research of wood properties to a further step,moreover,had an important significance for improving comprehend on wood micro-properties and enlarging the applicable range of wood.

本研究将最小二乘原理、数字图像分割、数字图像处理、数字图像识别应用于木材科学研究，分析了从年轮中心到木材边缘的年轮的木材细胞图像，应用改进的水平集方法准确分割细胞图像，应用活动轮廓模型完成了对木材细胞的识别，并完成了木材细胞六角形仿真，对木材材性的深入研究等领域中有重要的潜在应用价值，对提高木材对微观性能认识，扩大木材的适用范围，具有重要意义。

Singular linear systems; Iterative methods;AOR method; JOR method; Rank deficient least squares problems;Semiconvergence; Optimum parameters; P-cyclic matrix; Consistently ordered matrix; Preconditioning; Matrix pencil; Eigenvalue bounds; Support number

奇异线性方程组；迭代法；AOR 方法；JOR方法；亏秩最小二乘问题；半收敛性；最优参数；P-循环矩阵；相容次序矩阵；预处理；矩阵对；特征界；支撑数

Then a global separable nonlinear least-squares identification method which estimates the time delays and transfer function parameters separably is derived to reduce the possibility of convergence to a local minimum by using the global optimization theory.Furthermore,the GSNLS method is modified to a novel global separable nonl...

为降低收敛于局部最小的可能性，利用全局优化理论，推导了全局可分离的非线性最小二乘辨识方法；为消除强观测噪声所引起的参数估计的偏差，将GSNLS方法调整为一新颖的全局可分离的非线性多新息递推最小二乘辨识方法，仿真实验验证了算法的有效性。

Liang,"Multiscale Penalized Weighted Least-squares Sinogram Restoration for Low-dose X-ray Computed Tomography", IEEE Transactions on Biomedical Engineering, 55(3): 1022-1031, 2008 SCI, IF=1.622

周智明，卢虹冰主编，《大学计算机应用基础》（60万字），主编，（高等医药院校本科教材，第四军医大学出版社，2007年9月出版，全国发行

Then the damped least squares inversion method is designed on the base of the analytical formula of the spheriform structures detection in the whole space. With this method, the inversion for multi-group spheriform water-bearing structures models is done.

另外，探讨了其他形状的有限体积的含水构造超前探测异常规律，提出了&等效球体&的概念，亦在全空间球体含水构造超前探测解析公式的基础上设计了快速反演方法。

Under the imitated physiological conditions(pH=7.4), the interaction between umbelliferone and bovine serum albumin was investigated by the fluorescence spectroscopy and the multivariate curve resolution-alternating least squares method.

在模拟人体生理条件下(pH=7.4)，用荧光光谱法结合多元曲线分辨-交替最小二乘法研究伞形花内酯与牛血清白蛋白的相互作用。

Multiple linear regression is the simplest way to build the relationship between the several explanatory variables and response variable. However, MLR often causes the estimated regression coefficients unstable or even unaccessible when the number of explanatory variables is more than that of objects. Especially, the explanatory variables are highly intercorrelated which called multi-collinear data. Therefore, many methods have been developed to analyze multi-collinear data, such as variable selection methods, ridge regression, principal components regression and partial least squares regression.

当要同时建立多个解释变数与反应变数间的关系时，最简单的方式是以复回归来处理，但是当解释变数数目远多於样本数，或者变数之间具有高度相关性时，会使得回归系数的估计变得不稳定甚至无法求得，这样的资料又称为共线性资料，在面临这样的资料时可以利用变数选取的方式降低资料组的维度，或者以脊回归、主成分回归及净最小平方回归等方法来灭种共线性的干扰。

Monte Carlo simulations were conducted to study the new approaches of QTL mapping, the results indicated that general least squares method, which was widely applied in mixed linear model, could unbiasedly estimate all genetic main effects, including additive effects, dominance effects and epistatic effects of additive by additive, additive by dominance, dominance by additive, dominance by dominance.

对新提出的QTL分析力法进行了Monte Carlo模拟研究，结果表明，广泛应用于混合线性模型的广义最小二乘法能够无偏估计加性效应，显性效应以及加加、加显、显加、显显上位性效应等各项遗传主效应；运用线性无偏预测法能够无偏预测上述各项遗传主效应与环境的互作效应；基于QTL效应的杂种优势预测也是无偏的。

According to the clear water experiment, aeration performance of the new equipment is good with high total oxygen transfer coefficient and oxygen utilization ratio.

曝气设备的动力效率在叶轮转速为120rpm～150rpm时取得最大值，此时氧利用率和充氧能力也具有较高值。

The environmental stability of that world - including its crushing pressures and icy darkness - means that some of its most famous inhabitants have survived for eons as evolutionary throwbacks, their bodies undergoing little change.

稳定的海底环境─包括能把人压扁的压力和冰冷的黑暗─意谓海底某些最知名的栖居生物已以演化返祖的样态活了万世，形体几无变化。