least square

Secondly, the surface smoothness is adjusted by introducing the fairing criteria into the least square function.

The least square approach is applied to get regression curves and a design plan is proposed on the basis of the regression curves.

To produce a beam with a flat-top profile, we optimize the amplitude and phase of each unit laser using the least-square method.

The genetic algorithm is usually selected as an optimization tool for the least square fitting about ordered plane data by B-spline curves.

Then the edge points of the pipe are extracted by Facet model. The cylindricity error can be obtained by the least square cylinder.

By linearizing the estimation model, an iterative solution of the roll angle can be achieved by means of least square method.

Builds the performance curve regression equations of two types of pumps with the least square method, and gains the fitted curve equations.

Kalman filter(KF), based on the least square(LS), is a recursive algorithm used for the estimation of linear parameters.

The definition of conicity of a cone is presented. The least square evaluation method for conicity given coning is introduced.

Based on the result of the road area detection, the road edge detection algorithm uses the least square method to fit the road edge.

The least square method is popularly used in linear and non-linear regressions for data fitting and estimating model parameters.

The least square method was used to correlate VLE data in the binary systems of methanol-water, methanol-DMM and water-DMM.

In comparison with the observational data, it is shown that the empirical method is better than the least square method.

The accuracy and precision of this method are better than those of least square regression.

Thirdly, the least-square method based on relative error is proposed and used to fit the calibration curve of the ultrasonic sensors.

The lack of fitting information is solved by radius constraint of the least square method for better fitting precision.

To estimate the unknown parameters of the equations, the least square parameters estimation method was employed.

The least square method of error self-regression is used to correct the result of the real time flood forecasting.

and a correlation formula was fitted for specific thermal capa-city with temperature and carbon black loading by least square method.

and uses the weighted function of the moving least square approximation as a test function of the weighted residual method.

The PLS component scores can be frequently computed by the nonlinear iterative partial least square method from the on-line process data.

Involving a linear equation issue we used the precise data processing method is the least square method in college physics experiment.

The damped least square method was applied in both identification of the linear model and study of the neural network.

Secondly, the least square method by recursion is carried on modeling for the disturbing force and moment of random sea.

A sequential least square method with distance constraint was used to locate ribbon objects to reduce noise effect.

This paper regards decision tree as basic classifier, and introduces the least square technology for linear fusion.

This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction.

The regression method of rheology parameter for non-Newtonian fluid is obtained by the least square method.

Least-square polynomial fitting method is adopted to get a simple expression of steam enthalpy.

The system structure and the mathematic model of least square method to evaluate the straightness errors are introduced.

Methods Partial least square (PLS) method was used to train the training sets and predict the predictive sets.

A Nonlinear Least Square (NLS) algorithm is employed to minimize difference between the results from the model and the experimental data.

The least square is applied to process the raw data for getting the roller profile.

This paper provided a Least-Square Method to identify the noise model using M series as the input signal of the noise model.

This paper calculates the natural frequencies of circular cylindrical shell filled with liquid by least square collocation method(LSCM).

Finally, we give a method about compute the water and gas reservoir of dynamic reserves by the nonlinear least square method.

The method of least square circle is adopted to measure tool, head radius when a tool checking instrument measuring too, parameter.

The authors built an objection function according to the least-square algorithm about parameters and measurement values.

Vector of baseline is estimated to get coarse attitude, ultimately, the precise attitude is estimated by iterative least square adjustment.

An equal-phase interval multi-step phase-shifting algorithm-undetermined weight weighted least square algorithm-are introduced.

The weighted least square iteration computational equations and error estimate equations . . .

A new method of least square is raised in curve fitting of flood frequency calculating and its specific properties are analysed.

And the relationship between constrained least square unmixed accuracy and within endmember variances was analyzed with simulation data.

Some parameters in the formula were determined by the least square method.

The parameters of error model were identified by the least square method.

The experimental date is fitted by least square method and by derivation the velocity attenuation curve of the shock wave is got.

Through establishing normal equation, the parameter evaluation could be implemented by using least square method.

But combination of some coefficients in the least square equations can lead to a serious accumulation errors.

In the constructed model, the unknown parameters in consequent terms were identified by the weighted least square method.

The fourth topic is: matrix presentation linear least square errors method inverse heat transfer finite element model for upsetting.

Support vector machine classification is realized by least square algorithm and numerical simulation is performed.

In the paper, an identifying algorithm for the structure and parameters of fuzzy model is proposed based on an orthogonal least square.

The research about least square estimation of regression parameters in the linear model has included integrated and systemic results.

And the economyparameter must order before economy calculation, this article use the least square method to simulate by MATLAB.

This paper presented a least-square orthogonal distance fitting method for double concentric fragmental ellipses.

The randomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.

This paper presents the integrated evaluating method of line error in a plane by two endpoint and least square method.

The data for the measurement can use direct least square fitting to solve the curvature of the workpiece.

The error compensation of test data is achieved with the least square method.

A novel method of plane wave synthesis is presented with the introduction of least square method into near-field antenna measurements.

Finally, optical flow estimation is performed based on the least square method and partial derivative estimation.

least square method and combination of Hough transform with least square are presented to achieve component's angle detection.

A least-square deviation estimation method is proposed to solve the multiple attribute decision-making problems.

The basic theory of Traveler Satisfaction and partial least-square (PLS) were introduced.

Finally, the advantages and noticeable problems of least square collocation in time domain are discussed during calculation.

The least square method is compared with normal arithmetic to show its superiority.

Taking Shenyang as an example, evaluation criterion weight was determined by weighted least square method.

Aiming at those problems, a time calibration algorithm based on Least-Square Criterion is presented.

It presents a new NIR multi-component analysis method with clustering analysis and partial Least Square Regression(PLS).

Quantile regression can provide much more information than the classical least square regression.

Secondly, the method modifies the parameter of traditional experiential expressions using the recursive least square method.

In this paper, the authors present a method combined rough set ( RS ) with least square support vector regression (LS-SVR).

The linearized expression has been achieved in the help of the method of least square by temperature experiment repeated.

Result indicates that different improved least square methods are used by considering the need of adjust mass and residual vibration value.

Then least square method in discrete frequency domain is used to estimate the remainder fractional part of TOA.

To improve the ranging accuracy, a mathematic model based on the least square principle is constructed.

automated drawing of air-blower performance curve is achieved by using least square fits performance parameter.

To overcome this drawback, the orthogonal least square regression model is introduced.

Order components were extracted in time domain by constructing weighting least square adaptive filter.

Linear and nonlinear least square fitting are common methods for fitting regular curve and surface.

For estimating the software error intensity of parametric models, weighted least-square (WLS) estimate is suggested for the first time.

In this paper, a combining algorithm of decentralized least square estimates is presented.

Better effect is obtained than the algorithm combining least square estimation and standard Kalman filter.

The model parameters are estimated using a recursive extended least square method.

An enhanced image is finally reconstructed from the target gradient field by least square fitting.

The moisture absorption curve of tea was fitted by using MATLAB software programming and least-square principle.

The least-square method is used to evaluate the roundness error of tire.

At last, the coefficients of phase-height mapping equation are obtained with least square method.

Least square support vector machine (LS-SVM) is used to predict the trend of the aircraft flap system.

Gauss function is used as neural network's inspirit function , and least square rule is used to recognize the character.

The high frequency signals and the low frequency are forecasted with least square support vector machines.

Least square smooth mehtod and weighted smooth mean method were used in the data processing.

Finally in the feature space using least-square method to extract the linear regression model, and the model test.

Considering the advantages of partial least square (PLS) in dealing with collinear data, it is used to predict silicon content.

Convert seismic data int0 F-XYZ domain. . . Use least square principle to obtain prediction operator.

inkjet output, least-square method, piece wise curve-fitting method.

When estimating the DOA, the algorithms were proposed based on least square fitting and MUSIC-like algorithm, respectively.

WwW. zIdiR. coM The partial least square method is a multivariate statistical analysis method.

Second : via experimental data we get the second-order system model for each control object by using least square curve simulation.

A new method using least square method to verify the parallel axis theorem is reported.

A kind of generalized least square error robust self tuning controller algorithm with model reference is proposed.

Temperature field reconstruction algorithm based on least-square method is expatiated.

At the same time we curve fit the bulk modulus B of these binary alloys using the results and least square method.

It is difficult to simulate a velocity profile with the traditional least square method.

Methods Using least square method simulating line identify the end point of T wave.

A new time series prediction method was put forward, based on fuzzy least square support vector machine (FLS-SVM).

An improved algorithm based on least square fitting is given to search corner and point of tangency .

To enhance the robustness of path parameter fitting, a least square method based on RANSAC is adopted.

In order to calculate the least square collocation model, a direct algorithm is proposed based on matrix QR decomposition.

The method posed by this article is based on constrained least square methods, hut it is improved.

The method posed by this article is based on constrained least square methods, hut it is improved.

A soft sensing modeling method based on Niche Genetic Algorithm-Least Square Support Vector Machine (NGA-LSSVM) is proposed.

A modified shift method is presented based on cubic spline function and least square method.

Firstly, the solving process By use of least square collocation is discussed.

The polynomial fitting based on least square method was replaced by neural network BP.

This paper proposes an online detection system of flange based on Least Square Collocation (LSC).

Least square plane fitting to 4 boundary edges to find the mean plane.

First, arc fitting and B-spline fitting are carried out based on least square method.

CHEN Shuming, QIAO Tiantian. A new method of solving problem of nonlinear least square[J]. Journal of Yantai University, 2004, 17(1): 14-22.

The Least Square Estimate of Covariance Matrix in an Extended Growth Curve Model and its Optimal Property

The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Nonlinear Least-Square Algorithms Used for TMA in Bearing-only System--The Engineering Mathematic Model and Algorithms

The Minimal Norm and the Least Square Solution of a System of Linear Equations over the Quaternion Field

The least square evaluation and the minimum zone evaluation of the coaxial error and simulation analysis in the rectangular coordinates

The application of the least square algorithm in testing planck constant in photoelectric effect experiment

according to the optimized arc thoughts, the formula of optimized center distance of two ball is derived by the least square method;

The relative efficiencies of a class of linear estimator with respect to generalized least square estimator in linear regression model

Application of the Least Square Circularity on the Directional Barrel's Parallel Degree Measurement

Comparison of fitting efficiency between selective and non-selective least square fitting methods applied to pressure support ventilation

The application of the least square method in measuring wavelength of diffraction by a slit

Iteration Method by Correcting Characteristic Value for Ill-Conditioned Equations in the Least Square Estimations

Two Sufficient Conditions for Generalized Ridge Estimator Better than Least Square Estimator

Bearings-Only Tracking of a Maneuvering Target by Combining IMM with Filter Initialization Based on the Least Square Rule

The Compare and Analysis Between the Least Square Method and Fast Fourier Transform

Chaos Least Square Algorithm for Finding Solution of Non-linear Equations and Its Application to Mechanism Approximate Synthesis

The secondary order curve of pressure sensors decided by the least square method and accuracy analysis

The Least Square Estimate of the Regression Coefficient Matrix in the Extension of the Growth Curve Model

Application of the neural network model with partial least-square regression to the displacement prediction of roadway surrounding rock

The application study of the predict method of the gray and the method of least square in the earthquake array strong aftershock

Study and Application of the Least Square Recognition Algorithm in Fault Detection

Generation of non-circular curves by means of least square curve fitting and interpolation

Application of the least square support vector machine in recognition of small samples

Radial Basis Function-Partial Least Square-Bayes Method and Its Application in Chemical Pattern Classification

Estimate-Based Recursive Least Square Algorithm for Linear System Parameter Identification on Output Discontinuous Sampling Condition

Least Square Deconvolution Algorithm and Its Application in Measurement of Dynamic Deflection of Bridge

Chaos Least Square Algorithm for Finding Solution of Non-linear Equations and its Application to Mechanism Synthesis

The least-square solutions of inverse problems for generalized anti-skew-symmetric matrices

Radial Basis Function-weighted Partial Least Square Regression and Its Application to Develop Dry Point Soft Sensor

The least- square method and its application in triaxial shear test of soil

Generalized Least Square Error Robust Self-tuning Controller with Model Reference and Its Application

The Partial Least Square Regressive Model and Its Application to the Prediction of pH Values in Acid Precipitation

The application of the least square algorithm in physics experiments

Global Convergence Gauss-Newton Method Applied to Nonlinear Least Square Estimation in Target Location

learning theory ; least square regression ; sample dependent reproducing kernel Hilbert spaces ; learning rate

Proof of the uniqueness on the least square estimate for estimation in the linear models

The Minimal Norm and the Least Square Solution to a System of Linear Equations in the Quaternion Field

Partial Least Square Regression Model of Ecological Footprint and Its Influencing Factors

Determination of ethanol content in distilled spirits using short-wave near infrared spectroscopy with partial least square regression model

Forecasting geotechnical engineering distortion with least square error forecasting method

The application of least square method in the linear treatment of thermal potential-temperature character of the thermocouple

Algorithm of Movie Transit Intersection Survey Via the Least Square Estimation

The Least-square Solutions of a Matrix Equation

Least-square-based Optimization of Frequency Response Function Estimation in Modal Parameters Identification

The relation between weighted least squares support vector machine and the least square problem

Synchronous . Machine; Parameter Identification; . Least Square; method; Park's; Model. ;

The Least Square Method of Periodic Solutions for Parametric Oscillation Systems

Partial least square method for the quantitative determination of flame retardant in polyethylene plastics

Least Square Method for Acoustic Measurement in the Standing Wave Tube and its Error Analysis and Application

Global Convergent Method Applied to Nonlinear Least Square Estimation in Target Location

The least square estimate of covariance matrices in the growth curve model with random effects

Decomposition of Circular Dichroism of Norepinephrine by Singular Value Decomposition- Least Square Method

The Least-square Solutions and Optimal Approximation of Matrix Equation

Application on the least square and BP neural network to forecast the creep of geosynthetics

Logging Identification of Complicated Lithology with Constrained Least Square Algorithm

Partial least square method and BP neural network coupled model and its application to prediction of pH value of acid rains

The Least-Square Solutions to the Quaternion Matrix Equation Systems

Comparison of the Efficiency of Least Square Estimator in Regression Model for Longitudinal Data by Simulation

The Least Square Solutions of Systems of Matrix Equations Over Quaternion Field

Two Methods for Priorities of Complementary Judgement Matrices--Weighted Least-square Method and Eigenvector Method

Constraint Least-square Adjustment for Marine Gravity and Magnetic Track-line Data in Irregular Survey Network with Arbitrary Error Model

Study on the Mixed-Weights Least-Square Stable Generalized Predictive Control for Constrained Multivariable System

Algorithms and Application of Recursive Least-square with Variable Weighting Factor Identification

Application of least-square method in nonlinear compensation of electric potential difference of thermocouple

Least square Analysis of Combining Ability of Yield Properties of Maize And Relativity Study between Combining Ability and Heterosis

The Least Square Estimate of Covariance Matrix in the Restricted Growth Curve Model

A Flexural Rigidity Modal Identification Method of Least-square Solutions with Finite Power Adjustment for Bridge Structural Members

Synthesis of the Dual Frequency Circular Antenna Array by the Nonlinear Least Square Method

Local Linear Estimation by Two Stages Least Square for Nonparametric Simultaneous Equation Models in Econometrics

Application of Wavelet Transform and Partial Least Square in Prediction of Common Chemical Compositions in Tobacco Samples

Method of The Least Square Conic Fitting in GPS Attitude Measurement

Nonsingularity of coefficient matrix of normal equation in least-square estimator of non-linear semiparametric models

Least Square Method with Quadratic Constraints for Structural Computational Model Updating

Robust diagnostic; Least square regression; Chemometrics;

The Computational Procedure and Example of the Rigorous Recursive Least Square Algorithms

To Model the Quantitative Structure-Activity Relationship of Drug with Adapting Partial Least Square Regression

Improved Least Square Method for the Consolidation Coefficient Evaluation

Simultaneous and non-destructive determination of plasticizers in PVC applying partial least square method

Fractional Derivative Combined Fourier Least Square Fitting to Process Noised Overlapped Signal

Uncertainty Estimation of Spatial Straightness Least-square Evaluation Result

A Modified Least Square Image Reconstruction Algorithm in Electrical Impedance Tomography

Least Square Monte Carlo Simulation for Valuation of Participating Life Insurance Embedding a Surrender Option

A Method Base on Least Square Algorithm for Discriminating Artifacts in Dynamic Electrocardiogram Signals

Application of Least Square Method on Study of Air Permeability of Fabrics

A Convergent Iterative Algorithm of the Mixed Least Square Method in Analytic Hierarchy Process

Mean Square Convergence of Instrumental Variable Least Square Identification

Determination of Relative Attitude between Satellites Using Least Square Estimator

Influence of Observation to the Least Square Estimator

Study on the prediction of relatively strong aftershocks in earthquake sequence with least square fitting method

Constrained Least-Square Restoration of Space-Variant Blurs Resulting from Optical Imaging Systems

Iterative Least Square-Based Algorithm for Nonuniformity Correction of Infrared Focal Plane Arrays

An Improvement of Iterative Least-Square Astronomical Image Reconstruction Method

Using Least Square Method to Improve the Accuracy of Quasisynchronous Sampling Harmonics Analysis

Fixed Rank Solution of the Least-Square Problem of Matrix Equation

Least-square Solutions of Inverse Problems for Symmetric Orthogonal Symmetric Matrices

Modified Least-square Method for Identification of Bridge Deck Aerodynamic Derivatives

Weighed Least - Square Solutions of a Metric Matrices

Least square method for the consolidation coefficient evaluation

Synthesis of the Circular Antenna Array by the Nonlinear Least Square Method

Application of Improved Least Square Method in Hydrological Analysis Calculation

Research on Optimization Learning of Radial Basis Function Recursive Least Square Algorithm

Recursive Least Square Correction Algorithm for Short-circuit Current Real-time Calculation

Decision-feedback based least square blind multiuser detection algorithm via antenna arrays

Application of Weighted Least Square Estimates on Wireless Sensor Network Node Localization

Long Wave Near Infrared Spectroscopy-partial least Square Detect Alcohol Content in Distilled Spirits

Method of Automatic Test Paper Formation on the Least Square Algorithm

Cooling time prediction of hood-type annealing furnace based on fuzzy C-means clustering and least square regression and its application

Reliability Life Data Analysis of the Components of Missile Based on An Improved Least Square Method

Least Square Kurtosis Constant Modulus Algorithm for Blind Equalizer in Underwater Sound Channel

Application of the Least Square Method in the AC Servo System of CAM of Foot Orthosis

Recursive Damped Least Square and Its Application In Fire Control System

An Image Superresolution Method via Wavelet and Least-square Regularization Technique

Application of Generalized Least Square Method on Refrigerating Evaporator's Modeling

Measuring the effective mass of a spring with least square method

General Least Square Estimation of General Linear Errors-in-Variables Model with Singular Covariance

Least-square Solutions of Inverse Problem for Symmetric Orthogonal Anti-symmetric Matrices

Calculating Uncertainty of Unequal Observations of Grating Constant by Least Square Method

Least Square Point Collocation Method with Point Interpolation Functions as Trial Function

Partial least square approach for multi-parameter assessment of resistance spot welding quality

Nonlinear Partial Least Square for Designing Inferential Estimation

Least-square Identification Method for Long-span Continuous Beam Structural Rigidity

Estimation of extinction efficient boundary value with least-square fitting for lidar return signal

Least Square Allocation Method for Analysis of Tapered Framed-tube Structures in Highrise Buildings

Relation between a support vector machine and the least square method

Synthesis of the dual frequency array by the nonlinear least square method

A Remote Sensing Image Subpixel Matching Combined Genetic Algorithm with Least Square Matching

Application of Genetic Simulated Annealing Algorithm in Nonlinear Least Square

Mean square convergence of hierarchical least square identification under the attenuating excitation

Comparison of linewidth measurement using different probe based on the least square fitting model

Forgetting-Factor Least Square Support Vector Machine and Application on Drift Forecasting of Gyro

Condition of Rank Preservation or Adding a Group Elements to the Interval Logarithm Least Square Method