7 Objective function contributed for parameter estimation (Est.type 1) 138
Using Model Moving Horizon Estimation and Objective Function Optimization for Type 1 Diabetes Mellitus Patient Safety
... three objective functions which have the tanh reward for achieving 80 mmol/dL likely maintain blood glucose within acceptable ranges as the MPC targets the middle of the acceptable ...
9
Solar PV parameter estimation using multi-objective optimisation
... of parameter estimations as a single objective optimisation ...the objective function. Indeed, parameter estimation of solar PV is a multi-objective optimisation (MOO) ...
8
A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi Objective Programming
... penalty function with objective parameters and constraint penalty pa- ...penalty function with objective parameters and constraint penalty parameter for MP and the corresponding ...
10
Estimation of Scale Parameter Under a Bounded Loss Function
... loss function has been used by decision-theoretic statisticians and economists for many ...the estimation of scale parameter under a bounded loss function, which is adequate for assessing ...
5
Some Estimation Methods for the Shape Parameter and Reliability Function of Burr Type XII Distribution / Comparison Study
... on type-II censored samples, computed and compared the maximum likelihood, uniformly minimum variance unbiased, Bayes "based on squared error loss function with a gamma conjugate prior" and ...
16
A Novel Multiple Objective Fitness Function for DSA Transmission Parameter Optimization
... multiple Objective Fitness Function (OFF) is proposed for transmis- sion parameter optimization in dynamic spectrum ...optimal parameter set for transmission under various types of ...
9
Catchment Variability and Parameter Estimation in Multi-Objective Regionalisation of a Rainfall–Runoff Model
... The objective is to test robustness of regionalisation by assessing if generalisation of a wide range of climatic, topographic and physiographic settings in a regional model favours simulation of stream flow at ...
25
Catchment variability and parameter estimation in multi-objective regionalisation of a rainfall–runoff model
... established parameter values fall outside earlier established minimum or maximum ...default parameter sets are comparable, which indicate that the established regional model has no universal validity for ...
25
Parameter Estimation for Log-Pearson Type III Distribution by Pome
... The objective of this study was to derive an alternative procedure for the estimation of its parameters for the LPT III distribution using the principle of maximum entropy (POME), and [r] ...
11
Contrast function estimation for the drift parameter of ergodic jump diffusion process
... contrast function, which is efficient without requiring any conditions on the rate at which the step discretization goes to zero, and where we allow the observed process to have non summable ...contrast ...
53
Genetic network parameter estimation using single and multi-objective particle swarm optimization
... of great value; however, the extreme case is unnecessarily true. Two lines bound with a shrunk spring could still possess similar parameters. Both of the optimization problem classes involve sum of individual error ...
86
Detection and Parameter Estimation of Multicomponent LFM Signal Based on the Cubic Phase Function
... the estimation of the frequency rate can be obtained by finding the CPF ...the estimation of the initial frequency and amplitude can be implemented by the dechirp technique and fast Fourier ...
7
Parameter Estimation in Semi-Linear Models Using a Maximal Invariant Likelihood Function
... of estimation of semi-linear regression ...likelihood function. Then the nonlinear component, with the parameter values replaced by estimates, is treated as a regressor and ordinary least squares is ...
30
Dynamic modeling and parameter estimation of a hydraulic robot manipulator using a multi objective genetic algorithm
... * Engineering Department, Lancaster University, Gillow Avenue, Lancaster, England, LA14YW ( 1 Corresponding author: Tel: +44 (0) 1524 593660, e-mail: [email protected]) This article concerns the problem ...
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A multi objective parameter calibration approach
... main objective is to automate the calibration methodology for large- scale simulation models that have to be matched with realistic values from follow-up project stages or the implemented on-site system ...of ...
102
Multi-Objective Parameter Selection for Classifers
... crossValidation function as a precalculation ...foldList parameter which can be used to supply a precalculated cross-validation par- tition instead of generating a random ...precalculation function ...
27
Parameter Estimation of Viscoelastic Models in a 1-D Circulatory Network
... another objective was to estimate a preliminary inflow profile and associated outflow boundary ...or 1-D single vessel), but in doing so, additional insight into the more complex models may not be ...
156
Estimation of Stress-Strength Parameter for Burr Type XII Distribution Based on Progressive Type-II Censoring
... the type XII and type X in modeling lifetime data or survival ...Burr Type XII has the following distribution function for X > 0 : ...
14
Bayesian estimation for two parameter exponential distribution using linear transformation of reliability function
... The estimation of two-parameter exponential distribution using Bayes approach need a prior distribution for the two ...An estimation method was proposed by using linear transformation of reliability ...
6
Estimation of the fuzzy reliability function using two-parameter exponential distribution as prior distribution
... reliability function estimation for the machine represented by one year is a fuzzy number and therefore fuzzy set theory naturally offers a suitable tool for modeling the inaccurate models [6, 8, ...
13