Search Results - (( parameter implementation based algorithm ) OR ( parameter estimation based algorithm ))
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1
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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2
Simultaneous computation of model order and parameter estimation for ARX model based on single swarm and multi swarm simulated Kalman filter
Published 2017“…Simultaneous Model Order and Parameter Estimation (SMOPE) and Simultaneous Model Order and Parameter Estimation based on Multi Swarm (SMOPE-MS) are two techniques of implementing meta-heuristic algorithm to iteratively establish an optimal model order and parameters simultaneously for an unknown system. …”
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The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…Metaheuristic parameter estimation is an algorithm framework that is processed using some technique to generate a pattern or graph. …”
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4
Automatic control of flotation process using computer vision
Published 2015“…A froth model correlating the image variables to process variables and a prediction system estimating the metallurgical parameters based on image variables were then developed by using a neural network structure. …”
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5
Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method
Published 2024“…Then in terms of methodology, the Enhanced Henry Gas Solubility Optimization (EHGSO) algorithm is combined with the Sine-Cosine mutualism phase of Symbiotic Organisms Search (SOS) for efficiently estimating the unknown parameters of PV models. …”
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6
ADAPTIVE LINEAR ALGORITHMS FOR POWER SYSTEM FUNDAMENTAL AND HARMONIC ESTIMATION
Published 2015“…Several approaches have been presented in the last two decades to estimate the fundamental frequency and harmonics. The most popular algorithm that has been implemented to estimate, and quantify power system fundamental frequency and harmonic components is the Fast Fourier Transform (FFT). …”
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7
System identification for an autonomous quadrotor using extended and unscented kalman filters
Published 2011“…This paper presents aerodynamic parameters estimation techniques for an autonomous quadrotor through the implementation of Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF). …”
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Proceeding Paper -
8
Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…For horizontal localisation, different algorithm based on multi-class k-nearest neighbour classifiers with optimisation parameter is presented. …”
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9
Parameter identification of an autonomous quadrotor
Published 2011“…Two main processes highlighted in this paper are dynamic modeling of quadrotor and the implementation of UKF algorithm. The aim is to identify and estimate the needed parameters for an autonomous quadrotor. …”
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Proceeding Paper -
10
Novel chewing cycle approach for peak detection algorithm of chew count estimation
Published 2025“…Two specific chewing cycle approaches were implemented: a participants-based (P) cycle and a participants-food type-based (PF) cycle. …”
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11
Novel chewing cycle approach for peak detection algorithm of chew count estimation
Published 2025“…Two specific chewing cycle approaches were implemented: a participants based (P) cycle and a participants-food type-based (PF) cycle. …”
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12
Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques
Published 2003“…One of the most promising approaches is based on optimal inverse Xltering followed by fitting an autoregressive moving average ( A M ) model to the deconvolved data so that its AR parameters are determined by solving high order Yule- Walker equations (HOYWE) via the singular value decomposition (SVD) algorithm. …”
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13
Identification of continuous-time model of hammerstein system using modified multi-verse optimizer
Published 2021“…The numerical and experimental results also showed that both Hammerstein model subsystems are defined effectively using the mMVO-based method, particularly in quadratic output estimation error and a differentiation parameter index. …”
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Short circuit power based fault location algorithm in distribution networks
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16
Realization of microcontroller-based polarization control system with genetic algorithm
Published 2009“…Realization of a PIC32 microcontroller-based polarization control system is described. Genetic algorithm is used for control purposes. …”
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17
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The research starts with developing the hybrid deep learning model consisting of DNN and a K-Means Clustering Algorithm. Then, the developed algorithm is implemented to estimate the parameters of the Lorenz system. …”
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18
A graphical user interface application for continuous-time identification of dynamical system
Published 2002“…This paper introduces a Graphical User Interface (GUI) application in system identification and parameter estimation of dynamic systems using Generalized Poisson Moment Functionals (GPMF) method based on Instrumental Variable (IV) algorithm. …”
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Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar
Published 2016“…In the third method, Tchebichef moments (TM) of low order are selected as features used as inputs to ELM to estimate the Gaussian blur parameters. Once the blur parameters are estimated, image restoration of the proposed method is carried out using split Bregman algorithm. …”
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20
Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm
Published 2015“…It is required to maintain greater accuracy than the incremental angle methods used conventionally in critical plane searching algorithms. The multi-criteria-based critical plane selection method is evaluated; the considered criteria include a fatigue parameter and variance of shear stress, both maximized to find the most damaging plane. …”
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