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Second-order polynomial

Use of Doehlert Designs for Second order Polynomial Models

Use of Doehlert Designs for Second order Polynomial Models

... the second-order polynomial model are the central composite designs of Box and Wilson [2] and the designs of Box and Behnken ...the second factor covers the interval ...

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Comparative Physiochemical Analysis Of Phenylalanine, Tryptophan & Methionine in Aqueous Solutions Of Nitrates In terms of Linear, Exponential, Second Order Polynomial and Third Order polynomial Using Volumetric Approach

Comparative Physiochemical Analysis Of Phenylalanine, Tryptophan & Methionine in Aqueous Solutions Of Nitrates In terms of Linear, Exponential, Second Order Polynomial and Third Order polynomial Using Volumetric Approach

... exponential, second order polynomial and third order polynomial using volumetric approach has been deter- mined. These parameters have been rationalized in terms of various interactions ...

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Statistical Analysis for the Abrasive Wear Behavior of Al 6061

Statistical Analysis for the Abrasive Wear Behavior of Al 6061

... In the present study, a mathematical model has been developed to predict the abrasive wear be- havior of Al 6061. The experiments have been conducted using central composite design in the design of experiments (DOE) on ...

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Hybridizing GMDH and least squares SVM support vector machine for forecasting tourism demand

Hybridizing GMDH and least squares SVM support vector machine for forecasting tourism demand

... using second-order polynomial ...The second layer is created by computing regressions of the best value in the first layer along with the input ...

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Process optimisation of vacuum drying of onion slices

Process optimisation of vacuum drying of onion slices

... good. Second order polynomial relation fitted well to the cor- relation of the independent variables, the drying temperature, slice thickness, and treatment, with the responses such as the final ...

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Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process

Chemometric Approach for Mechanical Properties Prediction during the Electromagnetic Casting Process

... process. Second order polynomial (SOP), using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) models are recognized as a good modeling tools since they provide the solution to ...

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Regression Models with Multiobjective GA for EDM Parameters Optimization

Regression Models with Multiobjective GA for EDM Parameters Optimization

... Essentially, this study employed four consecutive ways in obtaining the final optimal solutions. The steps involved; collection of experimental data, modeling, optimization and results analysis. Second ...

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Effect of Ultrasonic Pretreatment on Biogas Production from Rice Straw

Effect of Ultrasonic Pretreatment on Biogas Production from Rice Straw

... In this study, the second-order polynomial model was applied for correlating two main ultrasonic variables (power level and exposition time) with two responses (methane yield[r] ...

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Theoretical models for prediction of mechanical behaviour of the PP/EPDM nanocomposites fabricated by friction stir process

Theoretical models for prediction of mechanical behaviour of the PP/EPDM nanocomposites fabricated by friction stir process

... I n this study, thermoplastic polyolefin elastomeric (TPO) nanocomposites were fabricated by friction stir processing. The effect of different pin geometries on clay dispersion and mechanical properties of the TPO ...

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Estimation of a regression spline sample selection model

Estimation of a regression spline sample selection model

... To make a fair comparison, the smooth components of the proposed method were represented using P-splines with the same settings. Models were also fitted neglecting the sample selection issue: using the selected sample, ...

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Advancing the AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards’ Equation

Advancing the AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards’ Equation

... a second order polynomial (hereinafter referred to as polynomial) with 3 free parameters is presumed and parameterized based on 3 backscatter observations provided by AirMOSS ...

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OPTIMIZATION OF PROCESSING PARAMETERS FOR EXTRACTION OF TOTAL, INSOLUBLE AND SOLUBLE DIETARY FIBERS OF DEFATTED RICE BRAN

OPTIMIZATION OF PROCESSING PARAMETERS FOR EXTRACTION OF TOTAL, INSOLUBLE AND SOLUBLE DIETARY FIBERS OF DEFATTED RICE BRAN

... RSM is widely applied in the food industry to determine the effects of multiple processing variables and their interaction on response variables (Vasquez and Martin, 1998; Senanayake and Shahidi, 2002; Tellez-Luis et ...

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The perception of second-order motion

The perception of second-order motion

... termed second-order, that elicit a perception of motion which cannot be explained in these ...the second-order motion into the processing ...of second-order motion is simply an ...

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Second order logic is logic

Second order logic is logic

... interpreted, as in the case of descriptive vocabulary and individual variables. These last are necessary in order to allow us to apply logic at all, but logic is applied in a topic neutral way. This is the other ...

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A review on singular perturbed delay differential equations

A review on singular perturbed delay differential equations

... with (0) = ∶ − ≤ ≤ 0 (1) = was considered. Taylor’s expansion is used to approximate the term containing negative shift. In the new equation a fitted parameter on the highest order derivative is introduced and its ...

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3.0 Second Order Circuits

3.0 Second Order Circuits

... A second order circuit is a circuit with two effective energy storage elements, either two capacitors, two inductors, or one of ...various second order ...of second order ...

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On characteristic polynomial of higher order generalized Jacobsthal numbers

On characteristic polynomial of higher order generalized Jacobsthal numbers

... Now the coefficients of the previous polynomial are in increasing order. In fact, as in the proof of item (ii), it is enough to prove that cβ + 1 ≥ c. This holds, because c(1 – β) < 2 · (1 – 1/2) = 1 ...

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An ‎E‎ffective Numerical Technique for Solving Second Order Linear Two-Point Boundary Value Problems with Deviating Argument

An ‎E‎ffective Numerical Technique for Solving Second Order Linear Two-Point Boundary Value Problems with Deviating Argument

... Based on reproducing kernel theory, an effective numerical technique is proposed for solving second order linear two-point boundary value problems with deviating argument. In this method, reproducing ...

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On Hybridizations of Fourth Order Kernel of the Beta Polynomial Family.

On Hybridizations of Fourth Order Kernel of the Beta Polynomial Family.

... fourth order kernel of the beta polynomial family with better ...higher order kernels and state its asymptotic mean integrated squared error which is the error criterion ...beta polynomial ...

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Multivariate Character Process Models for the Analysis of Two or More Correlated Function-Valued Traits

Multivariate Character Process Models for the Analysis of Two or More Correlated Function-Valued Traits

... quadratic polynomial used to model V(t), exponential function for ⍀(t ⫺ s) with the nonstationary extension (Equation 6); RR1, linear random regression model with three additional parameters for the residual ...

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