least squares

Improved gradient method and enhanced least squares method have been used in different stage of model development.

The method of least-squares approximation accompanied by orthogonal polynomials is one of these approximation methods.

Accordance with the general principles and methods of image measuring, use the least-squares procedure to fit the image's border.

On the basis of the least squares, a center moving method by point to point searching can confirm the direction of the moving without probe.

Then partial least squares method was used for selecting the effective wavelength interval of illumination.

Applying of partial least-squares regression in the research of the urban economy is one of domain directions in economy research.

The partial least squares and other methods were applied to set up the engineering cost model of water and waste water engineering.

All three show an adequate representation of the modes, as assessed by the minimization of the least squares error in the computation.

Consequently we obtained the analytical transfer functions of two meters with a linear least squares fit.

This paper completed development of calculating principle of the least squares estimating, introduced program method, and provided example.

To solve this problem, the loss model parameters were identified by the least-squares algorithm with the measured data in this paper.

In comparision with least squares and factor analysis, this method is superior in respect of no need of the total qualitative informations.

Measured in the least squares adjustment of the function model to solve problems, eventually reduced to the problem of linear equations.

Furthermore, the least squares approximation is introduced as a calculating method, which is theoretically creative.

The most accurate method to determine the behavior pattern of a mixed cost is least-squares regression.

The algorithm allows full-matrix least-squares refinement of macromolecular structures without explicit calculation of the normal matrix.

A nearly maximum likelihood properties can be achieved by updating weighted iterative generalized total least squares.

The uniqueness problem is solved by modifying the least squares method and adding a term of flow to the least squares criterion.

The least squares estimation was applied to the analysis of deck deformation.

A least squares straight line fitting is accomplished on flank and face over an area preset to a certain distance to the nose tip.

By analyzing the weighted covariance matrix of a local neighborhood, its least-squares plane was estimated.

This paper is focusing on study of NDA nonlinear least-squares(NLS) carrier frequency offset estimation for QAM signals.

hash table, and then through a least-squares fit to a final estimate of model parameters.

Then the more precise initial parameters could be obtained with a computationally attractive least squares method.

Obtained: Partial Least Squares iterative algorithm to handle data sheet leaflet extraction equivalence with Principal Component Analysis.

The objective function and state variables through the method of least squares approximation obtained by the design variables.

This paper mainly discusses the least squares problem of complex symmetric matrices on a linear manifold.

A least squares method for identification of non- integer order systems is introduced into frequency domain and an algorithm is presented.

The matching function was built by the Least Squares method, and it was solved by the genetic algorithms.

The results show that identified parameters of the film can meet the requirements of actual control using recursive least squares algorithm.

According to the least-squares method, it achieves point fitting by the characteristics of the grid.

Then, the parameters of the state matrixes in the rules of T-S model are determined initially with regressive least squares algorithm.

According to the characteristics of data collection, generalized least squares method was used to calibrate model.

An auxiliary model and least squares based recursive identification algorithm was presented for stochastic systems with colored noises.

The parameter check-identification method based on the least squares method makes parameter error identification more efficient.

Generalized Least Squares were used to estimate the traditional model and the linear time model.

In traditional Least Squares, all data points are deemed to have the same influence on forecasted point.

s behavior problems. Ordinary least squares (OLS) results provide strong evidence that substance use is associated with behavior problems.

In this part, the traditional solution of the least squares adjustment with inequality constraint (LSI) is analyzed at first.

Result indicates that Fuzzy Principal Component Method can improve multicollinearity of Least Squares Estimate.

It has also carried partial least-squares regression model to the precision analysis.

Least squares regression with nine model selection techniques, including stepwise regression.

Then, the universal penalized least squares estimators are compared with penalized least squares estimators.

The discounted least squares (DLS) principle is borrowed to construct the learning algorithm of DLS-RBF based upon squared error criterion.

Least-squares solution for the inverse problem of real matrices, symmetric matrices and bisymmetric matrices are studied in this thesis.

Note: Least squares means with the different small letter superscripts within the same column differ significantly ( P 05 ).

Secondly, least squares method is used to curve fitting pressure-density table by linearity, parabola and thrice polynomial respectively.

This article suggests a model for weighted least squares estimate for spherical surface measurement with polar radius method.

This paper presents a method to check gun fire data using limited points and an principle of least squares fitting.

Aim To explore the historical development of the method of least squares and its inventors' thought approach.

This paper presents a method of iteration for least absolute deviation regression, which uses weighted least squares methods.

LSCMUV coordinates are calculated using the Least Squares Conforming Maps algorithm. Use it together with the marked seams.

The test results accord with the data curves of Least Squares, and the test proves the feasibility of PEC in testing thickness of mental.

Then, the parameters of reduced least squares vector machine are identified by kernel partial least squares.

every local mapping parameter was estimated with linear least squares solution algorithm.

The ordinary Least Squares Estimate (LSE) in linear regression model is not robust for many cases.

The quantitative prediction abilities of Partial Least Squares method in both cases are compared.

The results indicate that the fitting based on the least squares method is feasible and valid.

At present, the methods used have least-squares method, Kalman filtering method and three-probe method.

Least squares matching algorithm can achieve high precision but with poor speed of converging.

A time series forecasting method based on dynamic weighted least squares support vector machine (LSSVM) is proposed.

How to quicken the speed of parameter tracking for the least-squares estimate is studied in this paper.

The NIR quantitative analysis models of 5 detection indexes in validation set was established using partial least squares(PLS) method.

We often use Least Squares Method to estimate the parameters of the model in practice.

A new method based on the total least squares is proposed for sinusoidal retrieval.

all calibration parameters are obtained by using grid calibration plate and least squares' method.

Partial Least- Squares Regressive Analysis and Modeling for the Yield of Acrynolitrile Reactor P .

Improvement was made on least squares matching algorithm which is widely used in image matching.

In addition, we introduce some new methods and theories for solving systems of nonlinear equations and nonlinear least squares problems.

The method presented in this paper provides a new tool for least-squares collocation calculation.

Nonlinear least squares method is employed to solve the model to get the global motion area of SR resolution.

In addition, the correlation-enhanced unvoiced signal can be effectively separated by using the recursive least squares algorithm.

A least squares solution via singular value decomposition is used to solve the matrix equation .

In order to make results more reliable least squares optimization is used for the weight coefficient matrix.

Then it builds a model by partial least squares regression on the obtained sample space.

At multiple regression, we mainly introduce the method of partial least-squares.

Results Based on solving system of linear equations, A. M. Legender invented the method of least squares with a whole thought; while C.

these parameters are estimated by weighted least squares.

A fast learning hybrid algorithm of feedforward neural networks based on the regularized least squares is presented.

When the solutions of equations don't exist, the minimum norm least squares solution is solved.

A new image filter operator based on the least squares wavelet support vector machines (LS-WSVMs) is presented.

A novel prediction model based on Least Squares Support Vector Machine (LS-SVM) with application in the milling area was proposed.

A phase space reconstructed forecasting method of stock price was proposed based on least squares support vector machines(LS-SVM).

In this paper we review the recent progresses of non linear partial least squares (PLS) applied in the field of chemometrics.

Second, based on a direct array manifold in UCA, the azimuth and elevation are estimated by Least Squares (LS).

we calculated the objective function (Y) of weighted least squares method, which is the residual sum of squares.

A method is proposed to construct sparse least squares support vector machines (LSSVMs).

According to data fusion principle, based on the least-squares method, the results of fusion are obtained.

A solution model of load composition based on clustering analysis and least squares method is established.

Based on the moving least squares method, an effective meshless method was developed for the free vibration problems of elastic body.

The partial least squares regression is a better method to forecast skylights water level.

second step, the curve fitting is achieved by using least-squares method.

An adaptive inverse control method based on Least Squares support vector machine(LS-SVM) is studied in this paper.

Two kinds of methods of system identification which are least squares identification and neural network identification are adopted here.

of a least-squares method.

A total of 305 useful responses were analyzed by using partial least squares.

The maximum predicted error of least squares SVM was 7. 12%, with an average error of 4. 81%.

farther more , we prove that we can also obtain superconvergecnt results by least - squares processing for derivative directly.

This article research the different algorithms such as circle method, least squares, centroid, based on RSSI.

Orthogonalization methods (such as QR factorization) are common, for example, when solving problems by least squares methods.

An Explanation of the Wind Speed Underestimation Obtained from a Least Squares Type Single-Doppler Radar Velocity Retrieval Method

Solution to the Question of the Least Squares by Optimum

Influence of the parameter of covariance function on result of the least squares collocation

Nonlinear Least-Squares Algorithms Used for TMA in Bearings-only System-The Theoretical Mathematic Model and Conventional Algorithms

Algorithm of nonlinear least squares adjustment of any plane networks with coordinates computed automatically

Superconvergence Analysis for Finite Element Solutions by the Least-Squares Surface Fitting on Irregular Meshes for Smooth Problems

Improved Weighted Least Squares Support Vector Machines Algorithm and Its Applications in Spectroscopic Quantitative Analysis

A Study of Loess Collapsibility by Combining Least Squares Support Vector Machines with Particle Swarm Optimization Algorithm

The Least-Squares Mixed Finite Element Methods for a Degenerate Elliptic Problem

The Least-squares Solutions of Inverse Problems of A Class of Skew-symmetric Matrices

A Partial Least Squares Regression Method Applied to Dam Safety Monitoring Modeling and Its Realization on Computer

Research and Realization of the Least Squares Morphological Associative Memory

Simultaneous Determination of the Content of Each Component in QU-TONG Tablets by Diagnostic Partial Least Squares

The least squares estimation used in model of GPS altitude transformation

Simultaneous Determination of Dyestuff Mixture by Means of Partial Least Squares

An error analysis of a hybrid method for the least squares problem

Combined nonlinear least squares adjustment for a two rank net without the derivatives of different observation values

The Least Squares Parameter Estimation of MIMO Systems with Constraints on Parameters of Different Equations

Study of Non-uniform B-Spline Least Squares and Its Applications in Regional Gravity Field

logistics outsourcing; Partial Least-Squares Regression; Grey Model; Projection Pursuit; Real-coded Accelerating Genetic Algorithm;

Approximation of Infinite Boundary Condition to the Least-squares Mixed Finite Element Methods

Multidimensional least-squares regression using asymmetric exponential fuzzy coefficients

Constrained least-squares design of a class of two-dimensional FIR filters

Least Squares Spectral Analysis and Its Application to Superconducting Gravimeter Data Analysis

Least Squares Wavelet Support Vector Machines and Its Application to Nonlinear System Identification

The Use of the Least Squares Solutions to Calculate Flow of Flood Frequency

Simultaneous spectrophotometric determination of nitrophenol isomer mixtures by partial least-squares method

A Combinational Evaluation Method Resulting in Consistency between Subjective and Objective Evaluation in the Least Squares Sense

The Least Squares Constant Modulus Algorithm for Blind Adaptive Multiuser Detection

Research on Multi-photo Collinear Condition Constrained Least Squares Matching and Its Application of Traffic

Error estimate of the least squares binary polynomial fitting for map projection

Development of Orthogonal Function-partial Least Squares and Its Application to Analysis of Compound Pharmaceutical Preparations

Least-squares Solution Of A Class Of Inverse Eigenvalue Problems For Centro- symmetric Matrices

Inefficiency of the Least Squares Estimation in Singular Growth Curve Model

The relative efficiency of the least squares estimator in singular linear model

A New Relative Efficiency of the Least Squares Estimator in Multivariate Linear Model

Simultaneous spectrophotometric determination of trace iron, manganese, copper, zinc, cobalt and nickel by partial least squares method

Simultaneous Determination of Binary Mixtures of Propoxur and Isoprocarb by Partial Least Squares- Kinetic Spectrophotometry

Application of Nonlinear Least Squares Adjustment Without Derivatives to Deal with Different Observation Data

The Generalized Least Squares Estimation of A Probability Density Function

The Novel Algorithm for Estimation of the Number of Principal Component in Partial Least-Squares Method

A Note of the Relative Efficiency of the Least Squares Estimator in Singular Linear Model

The Solution of Inequality-constrained Least Squares Problem and Its Statistical Properties

the fourth chapter is devoted to wavelet dual least squares method and a revised wavelet method;

Genetic algorithm-partial least squares algorithm as the feature selection method for proteomics data of ovarian cancer

The Least-squares Method Applied for Nonlinear Adjustment of Condition Equations

Study on an improved recursive partial least-squares modeling approach and application

Integrating kernel principal component analysis with least squares support vector machines for time series forecasting problems

Determining Four Component Contents in Residues by Partial Least Squares-Ultraviolet-Visible Spectrophotometry

Extracting Optical Aperture Synthesis Observation Objective FourierInformationBased on Least-squares Approach

Statistical properties for least squares identifying estimators in an SIMO system

The application of Method of the Least Squares in hydraulic calculation value table

Application of Method of the Least Squares to the Sliding Bearing Experiment

Study on Simultaneously Spectrophotometric Determination of Rh, Ir and Pd in Simulated Geological Samples by Optimized Partial Least Squares

Urine; Synchronous Spectrofluorimetry; Partial Least Squares;

technical innovation; export trade; Shandong province; high-tech industry; Ordinary Least-Squares regression;

Rapid and Robust Partial Least Squares Regression and Its Application to NIR Spectroscopy Analysis

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

Least-squares Problem and Optimal Approximate Problem for Anti-hermitian Generalized Hamiltonian Matrices on Linear Manifold

An algorithm of designing the least squares approximation filter with linear phase

The least-squares solutions of inverse problems for anti-skew-symmetric on the linear manifold

Genetic Algorithms Applied to Time-Frequency Least Squares Mix-Criterion for Reduced Order Modeling

Simultaneous determination of arsenic and phosphorus by partial least squares-spectrophotometry

Least Squares Estimation for the Parameter of Autoregressive Models of the Perturbation Term

Combined Prediction Model Based on Partial Least Squares Regression and Its Application to Near Infrared Spectroscopy Quantitative Analysis

Partial Least Squares Variable Selection Method and Its Application in Drug Source Analysis

Least Squares Support Vector Machines Based Soft Sensor Modeling of Nutrient Concentration for Multiplex Fertilizer Device

Applying Patial Least-Squares Discriminant Analysis on Autofluorescence Spectra to Identify Gastric Cancer

Universal Penalized Least Squares Estimation for Semiparametric Regression Models

A New Relative Efficiency of the Least Squares Estimator in Growth Curve Model

The Least-squares Solutions of Inverse Problems for Skew-anti-symmetric Matrices

Supremum and Stability of Weighted Pseudoinverses and Weighted Least Squares Problems Analysis and Computations

Adaptive constrained least squares image restoration using generalized cross-validation

Application of a Flood Model by Coupling Xin'anjiang Model with Attenuation Memory Recursive Least Squares Method

Phase unwrapping algorithm in the least-squares sense by relative modulation

Orthogonal Least Squares Method and Its Application in Analytical Chemistry

The Capacitive Current and Resistive Current Decomposition Algorithm Using Nonlinear Least Squares Method

Computing Low Flow Routing Coefficient of the Lower Yellow River by Least-Squares Optimization Method

Application of Partial Least-Squares Regression in Bank Rebuilding Prediction of Wushan County, Three Gorges Reservoir Region

The Solvability and the Original Set of the Weighted Total Least Squares Problem

Research on Multiphoto Collinear Condition Constrained Least Squares Matching and its Application

Simultaneous Spectrophotometric Determination of Five-Components in Cough Syrup by Partial Least Squares

Estimating Standard Deviation of Regression Coefficient in Orthogonal Least Squares by Monte Carlo Simulation

Least-squares Solutions of Inverse Problems for Generalized Antireflexive Matrix on a Linear Manifold

Generalized Total Least Squares in Frequency Domain for Aircraft Flutter Modal Parameter Identification

Calculating Method of the Least Squares Estimating

Simultaneous Determination of Mg and Fe by Atomic Absorption Spectrometry with Partial Least Squares Regression Method

An Iterative Method for the Least Squares Anti-symmetricsolution of Matrix Equations

Nonlinear Recursive Partial Least Squares and Its Applications

Application of Partial Least-squares Regression to the Acquisition Cost Estimating of Military Aircrafts

Superconvergence of Least-Squares Mixed Finite Element Solutions over Quadrilaterals

Identification of the criterion Polynomial for Prism Spectrograph by Improved Method of Least Squares

The Application of Partial Least Squares Regression and Neural Network Model to Predicting Construction Project Cost

Application of Partial Least-Squares Regression in evaluating replacement depth by dynamic compaction

Bias Compensation Recursive Least Squares Identification for Output Error Systems with Colored Noises

Projected Least-Squares Algorithms for Constrained FIR Filter Design with Linear Equality Constraints

Numerical Modeling Research for Thermal Error for the Spindle by Partial Least-Squares Regression Method

Accurate Position Technique for Artillery Projectile Tracking By Nonlinear Least Squares Method

Application and Improvement of Partial-Least-Squares in Fourier Transform Infrared Spectroscopy

Improved Algorithm of Mixed-weights Least-squares Constraint Predictive Control Algorithm

Log diameter class; Log scaling; Homomorphic enhancement; Non-linear least squares; Ellipse fitting;

Kernel Partial Least Squares Regression and its Application in Medicine

Modified Recursive Least Squares Algorithm with Variable Parameters and Resetting for Time-Varying System

Adopting least squares method in evaluating average consolidation of soil foundation with vertical drains

Remarks on Martingale Hyperconvergence Theorem and the Convergence Analysis of the Forgetting Factor Least Squares Algorithms

Discriminating the Genuineness of Chinese Medicines with Least Squares Support Vector Machines

Superconvergence of Least-Squares Mixed Finite Elements for Elliptic Problems on Triangulation

Improvement of Singular Value Decomposition Least Squares Method for Dynamic Spectrum Analysis

load forecasting; parametric; non-parametric; semi-parametric; two-stage least-squares method;

Local Linear Least Squares Estimation in Semiparametric Regression Model for Longitudinal Data

Correction of Retention Time Shift of Chinese Traditional Medicine Fingerprint by Local Least Squares Fitting

Least Squares Adaptive Algorithm for Bearings-Only Multi-sensor Maneuvering Target Passive Tracking

The Estimation of Complex Parameter of Piezoelectric Materials Using Nonlinear Least Squares Method

Discussing on Image Restoration Technology for Constrained Least Squares Filtering

The least-squares solutions of inverse problems for generalized skew-symetric matrices

Incremental and Online Learning Algorithm for Regression Least Squares Support Vector Machine

Degree Reduction of B-Spline Curves Using Perturbations Constraint and Least Squares Approximation

Spline Least Squares with Two Variables and Its Application in Cartography

Application of Partial Least-Squares Regression to Missile Development Cost Forecasting

Adaptive Control of Nonlinear Discrete-Time Systems Using Neural Networks and Least Squares Algorithm with Dead-Zone

Penalized least squares for semiparametric models under stochastic censored

An Improved Least Squares Support Vector Machine and Its Applications

Application of Support Vector Machines and Least Squares Support Vector Machines to Heart Disease diagnoses

Application of Partial Least-Squares Regressive on Modeling Analysis of Uniform Design Experiment

Least-squares solutions of inverse problems for anti-symmetric orthogonal anti-symmetric matrices

Least-squares Solutions of Inverse Problems for Generalized Skew-symmetric Matrices on the Linear Manifold

The modification technique of the principle of least squares for the tension of cables

Partial Least Squares Dimension Reduction for Discriminate Analysis of Microarray Data

A Sufficient and Necessary Condition for the Solvability of General Total Least Squares Problem

Projected least-squares algorithm for positive quadratic programming

Least Squares Estimation for Identification of Parameters with Constraints

Model of simple partial least squares regression and its application

modelling a penicillin fed - batch fermentation using least squares support vector machines

Local least squares support vector regression with application to online modeling for batch processes

Stable predictive control algorithm using mixed-weight least squares for system with hard constraints

Full-Electric Propulsion Ship; Power Load Forecasting; Least Squares-SVM; Ant Colony Algorithms;

Least-Squares Mixed Finite Element Method for a Class of Stokes Equation

The Least Squares Implementation of Direct IF Sampling

Least-squares Mixed Finite Element Methods for the Evolutionary Stokes Equations

The Application of the Least Squares Method in Mould CAD

LS and NLS are the results with linear and nonlinear least squares method respectively

Application of Truncated Total Least Squares in Ultrasound Inverse Scattering Imaging

A Recursive Least Squares Algorithm for Frequency Domain Identification of Non-Integer Order Systems

Urban Domestic Water Demand Forecasting by Combining Partial Least Squares Regression and Grey Model

Least Squares Collocation in Calculating Potential Coefficient with Satellite Gravity Gradiometry Data

Method of total least squares of parameter estimation for sinusoidal signals using principle of signal matched-phase

Robust Least Squares Method for Interference Cancellation in High Frequency Surface Wave Radar

Mixed-Weights Least-Squares Stable Predictive Control Algorithm with Soft and Hard Constraints

Least-squares Solution of Inverse Problem for Orthogonal Symmetric Matrices on Linear Manifold

An Algorithm of Dynamic Linear Least Squares Backpropagation for Feedback Neural Networks