Search Results - (( using function new algorithm ) OR ( parameter estimation using algorithm ))
Search alternatives:
- using algorithm »
- using function »
- new algorithm »
- function new »
- parameter »
-
1
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…The second taxonomy is a new taxonomy proposed to classify the adaptive DE algorithms in particular into two categories (DE with adaptive parameters and DE with adaptive parameters and strategies) considering the adaptive components used in this algorithm. …”
Get full text
Get full text
Thesis -
2
Identifying and estimating solar cell parameters using an enhanced slime mould algorithm
Published 2024“…The proposed ESMA was used to resolve the problem of estimating PV parameters based on the empirical current-voltage (I-V) data. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
3
A new robust computational approach for the electric power system parameters
Published 2017“…This paper, presents a new robust algorithm for power system SE environments. …”
Get full text
Get full text
Article -
4
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The fitness function used is the correlation function in the SKF algorithm to optimize the cipher image produced using the Lorenz system. …”
Get full text
Get full text
Thesis -
5
Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari
Published 2015“…We propose a new and efficient approximation of the concentration parameter estimates using two approaches, namely, the roots of a polynomial function and minimizing the negative value of the loglikelihood function in this study. …”
Get full text
Get full text
Thesis -
6
Modified multi-verse optimizer for nonlinear system identification of a double pendulum overhead crane
Published 2021“…The efficiency of the proposed HMVOSCA algorithm is evaluated using the convergence curve, parameter estimation error, bode plot, function plot, and Wilcoxon's test method. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
7
-
8
Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
Published 2016“…This new algorithm is inspired by the estimation capability of the Kalman Filter. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Location determination using radio frequency RSSI and deterministic algorithm
Published 2008Get full text
Get full text
Conference or Workshop Item -
10
Identification of non-linear dynamic systems using fuzzy system with constrained membership functions
Published 2004“…In addition, the use of two alternative training algorithms, namely the recursive prediction error (WE) and Levenberg-Marquardt (LM) algorithms, were proposed. …”
Get full text
Get full text
Get full text
Thesis -
11
Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means
Published 2020“…Using a set of equations, these values then estimate the parameters of the triangular membership function. …”
Get full text
Get full text
Conference or Workshop Item -
12
Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration
Published 2016“…This new algorithm is inspired by the estimation capability of the Kalman Filter. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
13
A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems
Published 2021“…This paper presents a new hybrid identification algorithm called the Average Multi-Verse Optimizer and Sine Cosine Algorithm for identifying the continuous-time Hammerstein system. …”
Get full text
Get full text
Article -
14
Hydroclimatic data prediction using a new ensemble group method of data handling coupled with artificial bee colony algorithm
Published 2022“…Then, ensemble averaging combines the output from those various transfer functions and becomes the new ensemble GMDH model coupled with the ABC algorithm (EGMDH-ABC) model. …”
Get full text
Get full text
Get full text
Article -
15
-
16
A multiobjective simulated Kalman filter optimization algorithm
Published 2018“…The algorithm is tested with various multiobjective benchmark functions and compared with Non-Dominated Sorting Genetic Algorithm 2 (NSGA2) multiobjective algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
17
Reproducing kernel Hilbert space method for cox proportional hazard model
Published 2016“…This algorithm is used to determine the vector i a that enables us to find the optimal parameters of ƒ(x)which is simplified as F(x)= ∑aᵢK(x,xᵢ) . …”
Get full text
Get full text
Get full text
Thesis -
18
Identification of continuous-time model of hammerstein system using modified multi-verse optimizer
Published 2021“…In particular, the search capacity of the MVO algorithm has been improved using the sine and cosine functions of the Sine Cosine Algorithm (SCA) that will be able to balance the processes of exploration and exploitation. …”
Get full text
Get full text
Thesis -
19
Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm
Published 2025“…The orthogonal learning mechanism improves the performance of the original GOOSE algorithm. This FC model uses the root mean squared error as the objective function for optimizing the unknown parameters. …”
Article -
20
Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…Firstly, an improved EM (IEM) algorithm is presented to estimate the five parameters of the single PV-module system. …”
Get full text
Get full text
Thesis
