[PDF] Top 20 Pensando la educación: Inclusión y políticas públicas
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Study for Parameter Estimation Optimization Based on Q-GRBPF
... performance parameter estimation of rail vehicles has become the research focus of rail vehicle on-line monitoring, mainly because the evolution of vehicle service performance is reflected by the ... See full document
10
A Comparative Study Based on Optimization Techniques for Software Cost Estimation
... effort estimation is an essential task for software development life cycle as well as for managing project cost, time and ...proposed optimization and machine learning-based models for software ... See full document
61
Fast Gait Parameter Estimation for Frontal View Gait Video Data Based on the Model Selection and Parameter Optimization Approach
... Abstract—We study the problem of analyzing and classifying frontal view gait video ...this study, we focus on the human walking speed and amplitude of arm swing and leg swing, we estimate these parameters ... See full document
77
Semidefinite Programming for Approximate Maximum Likelihood Sinusoidal Parameter Estimation
... We study the convex optimization approach for parameter estimation of several sinusoidal models, namely, single complex/real tone, multiple complex sinusoids, and single two-dimensional ... See full document
6
An improved swarm optimization for parameter estimation and biological model selection
... The study showed that the recombination searching strategy applied by this method was robust to measurement noise in the experimental ...Swarm Optimization (PSO) [19] and Genetic Algorithm (GA) [20] methods ... See full document
132
Parameter estimation of microbial models using hybrid optimization methods
... constructed based on mathematical formulations such as ordinary differential equations (ODEs) to quantify the changes of specific biochemical concentrations over a sample of observation ...and parameter ... See full document
10
SBMLSimulator: A Java Tool for Model Simulation and Parameter Estimation in Systems Biology
... and parameter estimation of biochemical models, which fully supports all SBML ...nature-inspired optimization framework EvA2 for estimation of uncertain parameter ...the ... See full document
9
Study of Adaptive Model Parameter Estimation for Milling Tool Wear
... this study, a new method for on-line tool wear monitoring is presented under varying cutting ...extraction based on process modeling and parameter ...adaptive estimation model of milling tool ... See full document
26
Improvement of antimicrobial metabolites by Saccharothrix flava VSM-3 using full factorial design and chemotype analysis
... statistical optimization, and kinetic parameter estimation was executed using unstructured models to depict the importance of growth-associated metabolite ...RSM-based optimization of ... See full document
36
Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization
... an optimization technique. In this study as men- tioned above, the PSO algorithm will be ...the optimization criterion (objective ...objective optimization uses one objective function in the ... See full document
20
Process parameter optimization based on principal components analysis during machining of hardened steel Pages 379-390 Download PDF
... experimental study was conducted by Cho et ...(RSM) based mathematical models were developed to analyse the effects of depth of cut and machining time on ... See full document
19
A modified particle swarm optimization algorithm for parameter estimation of a biological system
... Tables 2 through 5 depict the results obtained from IUKF, SA, PSO and the proposed DPSO algorithms. In these tables, the average of estimated parameters and the corresponding average RMSE for each algo- rithm in 1000 ... See full document
48
The Newton-like properties of the updating mechanism of a model-reality differences algorithm
... DISOPE does not work directly on ROP but rather modeled the reality into a Model Based Problem (MOP) which includes parameter estimates γ(t) ∈ R and α(t) ∈ R r . These two estimates take into account the ... See full document
7
Uncertainty analysis of dynamic thermal rating based on environmental parameter estimation
... model based on CIGRE stand- ard is ...the estimation uncertainty of ambient temperature, wind speed, and wind direction at 8 ...optimal estimation of DTR, the standard uncertainty, and the inclusion ... See full document
11
Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics
... In this section, for type-II censored sample (with m = 0 and k = 1 ), in order to illustrate all the inferential results established in the preceding sections, we use simulation and real life data for Weibull subfamily ... See full document
74
Novel Reverse Driving based Fruit Fly Optimization Algorithm for Parameter Optimization
... the optimization of negative ...driving based fruit fly position updating strategy is efficient in avoiding the local optimum and improving the global searching ... See full document
8
A Comparative Study On Parameter Estimation Methods For Big Data Analysis Based On Random Sample
... At present the sampling-based methodology are spreading in different area as where the data is available in large size, although most study are performed using samples where the sample frame is the group of ... See full document
12
A Study on Modal Parameter Estimation Method based on Operational Modal Analysis for Ship Structure
... modal parameter estimation of the target ship, the modal frequencies and modal damping values are listed together in TABLE IV and TABLE ...modal parameter of the target ship is estimated by averaging ... See full document
5
On the twisted Daehee polynomials with q parameter
... In this paper, we give a p-adic integral representation of the twisted Daehee polynomials with q-parameter, which is called the Witt-type formula for the twisted Daehee polynomi- als with ... See full document
10
Using Modified Self adaptive Differential Evolution for Estimation of Chemical Reaction Kinetic Parameters
... In order to verify the validity of MSaDE, five commonly used benchmark functions are selected from [8] for experimental testing. Based on the functional features, they are representative. The benchmark functions ... See full document
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