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optimal parameter

A Method for Finding Optimal Parameter Values Using Bifurcation Based Procedure

A Method for Finding Optimal Parameter Values Using Bifurcation Based Procedure

... the optimal parameter value, which means the farthest point from the bifurcations in the parameter re- gion under ...appropriate parameter values that correspond to constructing a system which ...

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On Optimal Parameter Not Only for the SOR Method

On Optimal Parameter Not Only for the SOR Method

... the optimal parameter for the SOR ...for optimal parameter for the SOR method is known only in special ...for optimal parameter for some discretization of Poisson ...

6

Optimal Parameter Design by Regression Technique and Grey Relational Analysis

Optimal Parameter Design by Regression Technique and Grey Relational Analysis

... Taguchi [1] method has significantly improved quality and yield in a product/process design. This method focuses on optimizing a single quality response of main interest [3-4]. In today’s high-tech processes, however, ...

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Globally optimal parameter estimates for nonlinear diffusions

Globally optimal parameter estimates for nonlinear diffusions

... In this paper, we also propose a new algorithm for the inference of parame- ters when diffusion (1.1) takes a simpler form, as given in (3.1). Our method circumvents the use of numerical optimization to determine the ...

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FPGA IMPLEMENTATION OF BILATERALFILTER AND OPTIMAL PARAMETER ESTIMATION FOR IMAGE DENOISING

FPGA IMPLEMENTATION OF BILATERALFILTER AND OPTIMAL PARAMETER ESTIMATION FOR IMAGE DENOISING

... Bilateral filter for image adaptive denoising process in FPGA using vhdl hardware language. The image[r] ...

7

An optimal parameter extraction and crack 
		identification method for solar photovoltaic modules

An optimal parameter extraction and crack identification method for solar photovoltaic modules

... module parameter extraction process and compared with four other methods namely GA, CPSO, SA and ...of parameter extraction with double diode model and parameter dependent on temperature and ...

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A Survey Paper on Truss Structure optimal Parameter Selection

A Survey Paper on Truss Structure optimal Parameter Selection

... A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization. International Journal of Non-Linear Mechanic[r] ...

5

Optimal parameter estimation of a depolarizing channel

Optimal parameter estimation of a depolarizing channel

... locally optimal strategy, which achieves the Cram´er-Rao bound at a local point of the parameter space was derived when two qubits at most are ...channel parameter with a very high degree of ...the ...

7

Online Full Text

Online Full Text

... each parameter has the potential to cause a false ...of parameter combinations is 614,718,720, ...suitable parameter to limit tRNA prediction is a key point in the accurate recognition of the tRNA ...

6

Optimal parameters of the SVM for temperature prediction

Optimal parameters of the SVM for temperature prediction

... However, parameter selection was a procrastination- inspiring and time-consuming process because it cannot be screened ...and parameter optimization was the research topic when SVM was applied to predict ...

6

Optimal Sizing Of Transistor's Parameter Using Genetic Algorithm

Optimal Sizing Of Transistor's Parameter Using Genetic Algorithm

... wills optimal transistor’s width and length in a specific ...transistor’s parameter corresponding to different output by using Pspice ...decide optimal parameter ...

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A Monte Carlo based analysis of optimal design criteria

A Monte Carlo based analysis of optimal design criteria

... of optimal experimental design are of central importance in this context and have justifiably received significant attention in the research literature (see for example [11, 14, 15, ...several optimal ...

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Optimal Design for Parameter Estimation in EEG Problems in a 3D Multilayered Domain

Optimal Design for Parameter Estimation in EEG Problems in a 3D Multilayered Domain

... • For the specific EEG problem investigated, the length of the confidence intervals as well as the mean relative error do not decrease significantly for more than 10 or 11 observation points. Hence an optimal ...

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A DSP based general self-tuning observer controller

A DSP based general self-tuning observer controller

... The GSTOC is state-space varying theories, such as optimal state optimal control of a control theory and parameter state Self- using a structure Kalman filters estimators, full General a[r] ...

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Optimal experimental design for an enzymatic biodiesel production system

Optimal experimental design for an enzymatic biodiesel production system

... The optimal sampling design is achieved by using Powell’s method which leads to significant improvement for parameter ...higher parameter sensitivities can generate more informative ...

6

Limit sets and switching strategies in parameter-optimal
iterative learning control

Limit sets and switching strategies in parameter-optimal iterative learning control

... This paper characterizes the existence and form of the possible limit error signals in typical parameter-optimal Iterative Learning Control. The set of limit errors has attracting and repelling components ...

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Minimal conditions for parametric continuity and stable policy in extreme settings

Minimal conditions for parametric continuity and stable policy in extreme settings

... In the present section, we first explore the possibility of representing pref- erences that satisfy PS with utility function that varies continuously with the parameter. We show that such representations are only ...

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Analytical Study for Optimal Time Parameter in Cellular Communication Data Analysis

Analytical Study for Optimal Time Parameter in Cellular Communication Data Analysis

... In our schema we want to use both user and network accordingly one second is good to study network analysis but it generate more data , it is not so useful for studying user behavior , also one minute is great for ...

5

Numerical construction of parameter maximin D optimal designs for binary response models

Numerical construction of parameter maximin D optimal designs for binary response models

... maximin optimal due to multimodality of the Bayesian criterion functions, the experimenter can choose a new starting value and apply the algorithm ...maximin optimal design, which also suggests that ...

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Quantification of Node Wise Commodity in Supply Chain and Its Cost Analysis

Quantification of Node Wise Commodity in Supply Chain and Its Cost Analysis

... conceptual foundation on which rests the analysis of many physical, biological, and social systems. This equation of heat flow may be treated as the partial dif- ferential equation of the commodity flow which has most ...

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