Search Results - (( data visualization system algorithm ) OR ( parameter simulation model algorithm ))
Search alternatives:
- visualization system »
- parameter simulation »
- data visualization »
- system algorithm »
- model algorithm »
-
1
Visual analysis to investigate the capability of ANFIS in modelling hydrological relationship using synthetic dataset
Published 2018“…In using most of the machine learning algorithms including ANFIS, to obtain the best model, the common and normal approach is always by comparing models of different parameter settings based on the goodness-offit statistical measures. …”
Get full text
Get full text
Get full text
Article -
2
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Computerized machining data systems have been classified into two general types, the mathematical model and the database model. …”
Get full text
Get full text
Thesis -
3
Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The MIKE11 model was developed based on surveyed, stream cross-section data to perform hydrodynamic simulation of the flooding process. …”
Get full text
Get full text
Thesis -
4
Digital closed loop controller of hydraulic cylinder using linear transducer / Mohd. Aizuddin Khalid
Published 2010“…The personal computer is for generating the outputs/inputs signals, from MATLAB/SIMULINK software package, to the data acquisition board. SIMULINK is integrated with MATLAB, providing immediate access to an extensive range of tools that can develop algorithms, analyze and visualize simulations, customize the modeling environment, define signal, parameter, and test data. …”
Get full text
Get full text
Thesis -
5
Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway
Published 2023“…Fitting the simulated model into the experimental data is categorized under the parameter estimation problem. …”
Get full text
Get full text
Get full text
Article -
6
The Development Of System For Algorithms Visualization Using Simjava
Published 2020“…It does not simply fit data to a chart to visualize an algorithm, there is no main data set. …”
Get full text
Get full text
Get full text
Article -
7
GENETIC ALGORITHM WITH DEEP NEURAL NETWORK SURROGATE FOR THE OPTIMIZATION OF ELECTROMAGNETIC STRUCTURE
Published 2020“…The behavior of Genetic Algorithm (GA) where it generates and evolves the parameters towards a high-quality solution gives an advantage in obtaining ideal combination of parameters to fit in with the simulation. …”
Get full text
Get full text
Final Year Project -
8
Estimation in spot welding parameters using genetic algorithm
Published 2007“…The application has widespread in many areas especially in system and control engineering. Genetic algorithm (GA) used as parameter estimation method for a model structure. …”
Get full text
Get full text
Thesis -
9
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. …”
Get full text
Get full text
Get full text
Article -
10
Simulation algorithm of bayesian approach for choice-conjoint model
Published 2011“…Therefore this research propose simulation algorithm of Bayesian approach for estimating parameter in MPM by Bayesian analysis to avoid computational difficulties in computing the maximum likelihood estimates (MLE).…”
Get full text
Thesis -
11
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 -
12
A simulation study of a parametric mixture model of three different distributions to analyze heterogeneous survival data
Published 2013“…In this paper a simulation study of a parametric mixture model of three different distributions is considered to model heterogeneous survival data.Some properties of the proposed parametric mixture of Exponential, Gamma and Weibull are investigated.The Expectation Maximization Algorithm (EM) is implemented to estimate the maximum likelihood estimators of three different postulated parametric mixture model parameters.The simulations are performed by simulating data sampled from a population of three component parametric mixture of three different distributions, and the simulations are repeated 10, 30, 50, 100 and 500 times to investigate the consistency and stability of the EM scheme.The EM Algorithm scheme developed is able to estimate the parameters of the mixture which are very close to the parameters of the postulated model.The repetitions of the simulation give parameters closer and closer to the postulated models, as the number of repetitions increases, with relatively small standard errors.…”
Get full text
Get full text
Get full text
Article -
13
Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor
Published 2017“…This research focuses on the parameter estimation, outlier detection and imputation of missing values in a linear functional relationship model (LFRM). …”
Get full text
Get full text
Get full text
Thesis -
14
Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
Published 2015“…In this paper, a technique termed as Simultaneous Model Order and Parameter Estimation (SMOPE), which is specifically based on Gravitational Search Algorithm (GSA) is proposed to combine model order selection and parameter estimation in one process. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
15
Enhancing reservoir simulation models with genetic algorithm optimized neural networks across diverse climatic zones / Saad Mawlood Saab
Published 2025“…The optimizer algorithm (i.e., GA) determines the optimal input variables and internal parameters in the prediction models. …”
Get full text
Get full text
Get full text
Thesis -
16
A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…The development of the simulation model consists of seven steps. The steps are problem definition, construct the simulation model, test and validate the model, design the simulation experiments, conduct the simulation experiments, evaluate the result and implement the result. …”
Get full text
Get full text
Get full text
Thesis -
17
Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…The performance of the algorithm is evaluated using both simulated ARMA models and practical rotary motion system. …”
Get full text
Get full text
Get full text
Proceeding Paper -
18
OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…Converter models for simulation are designed for the forward and backup modes of operation. …”
Get full text
Get full text
Citation Index Journal -
19
OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…Converter models for simulation are designed for the forward and backup modes of operation. …”
Get full text
Get full text
Citation Index Journal -
20
LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…Furthermore, our CGD algorithms are also capable of estimating the pure GARCH model, unlike any similar algorithm for the same model in the literature. …”
Get full text
Get full text
UMK Etheses