Search Results - (( parameter simulation based algorithm ) OR ( peer extraction method algorithm ))
Search alternatives:
- parameter simulation »
- extraction method »
- simulation based »
- method algorithm »
- peer extraction »
-
1
Parameter extraction of solar photovoltaic modules using penalty-based differential evolution
Published 2012“…This paper proposes a penalty based differential evolution (P-DE) for extracting the parameters of solar photovoltaic (PV) modules at different environmental conditions. …”
Get full text
Get full text
Article -
2
-
3
Taguchi's method for optimized neural network based autoreclosure in extra high voltage lines
Published 2008“…The fault identification prior to reclosing is based on optimized artificial neural network associated with Levenberg Marquardt algorithm to train the ANN and Taguchi's Method to find optimal parameters of the algorithm and number of hidden neurons. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
4
Finite Element Modeling Of Ballistic Penetration into Fabric Armor
Published 2006“…This program (named DYNTEX) based on the mentioned algorithm is designed using MATLAB code. …”
Get full text
Get full text
Thesis -
5
Zero root-mean-square error for single- and double-diode photovoltaic models parameter determination
Published 2022“…The parameter determination based on experimental data aids in providing an accurate assessment for predicting the output current of the PV cells. …”
Get full text
Get full text
Article -
6
Obso based fractional pid for mppt-pitch control of wind turbine systems
Published 2022“…The proposed model aims to effectually extract the maximum power point (MPPT) in the low range of weather conditions and save the WT in high wind regions by the use of pitch control. The OBSO algorithm is derived from the integration of oppositional based learning (OBL) concept with the traditional BSO algorithm in order to improve the convergence rate, which is then applied to effectively choose the parameters involved in the FOPID controller. …”
Get full text
Get full text
Article -
7
Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…However, this study only focuses on driving control system that based on vision sensor. Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken fiom the vehicle during driving on highway, by using MATLAB programming. …”
Get full text
Get full text
Thesis -
8
Vision-based autonomous vehicle driving control system
Published 2005“…However, this study only focuses on driving control system that based on vision sensor. Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken from the vehicle during driving on highway, by using MATLAB programming. …”
Get full text
Get full text
Thesis -
9
Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun
Published 2021“…As for the optimization process, the reservoir operation rule was derived using a meta-heuristic algorithm at the monthly interval. These operational rules were based on the reservoir with a multi-purpose objective: hydropower and intrusion of saltwater. …”
Get full text
Get full text
Get full text
Thesis -
10
Fault detection and diagnosis using rule-based support system on fatty acid fractionation column
Published 2003“…Identification of causes, consequences and suggested actions for each deviation assisted by Hazard and Operability Study (HAZOP) analysis are generated into rule-based algorithm. Forward chaining strategy is used to interpret the rule-based system. …”
Get full text
Get full text
Article -
11
-
12
Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…Next, an advanced machine learning based on is utilized to predict islanding and none islanding states. …”
Get full text
Get full text
Thesis -
13
Modelling of Liquid-liquid Equilibrium Behaviour of Aqueous Two-Phase Polymer Mixture System for Protein Extraction
Published 2007“…We briefly discuss some issues involved in solving for the LLE compositions and present methods and steps taken to achieve robust, accurate and reliable simulations. We solve the minimization problem using the modified Shor's R-algorithm for non-smooth optimization [3,4]. …”
Get full text
Get full text
Conference or Workshop Item -
14
-
15
AQUEOUS TWO-PHASE POLYMER MIXTURE SYSTEM AS PROTEIN XTRACTION TECHNIQUE. MODELLING OF PROTEIN PARTITIONING BEHAVIOR
Published 2007“…A Gibbs energy of mixing minimization approach is presented to calculate the liquid-liquid equilibrium behaviour and protein partitioning behaviour in the polymer-mixture ATPES that is based on Flory-Huggins polymer theory. The minimization problem is solved using the modified Shor's R-algorithm for non-smooth optimization. …”
Get full text
Get full text
Conference or Workshop Item -
16
Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar
Published 2012“…Switching of capacitors was simulated to generate oscillatory transients in a power distribution system. …”
Get full text
Get full text
Thesis -
17
A Film-Pore-Surface Concentration Dependent Model For Adsorption Of Dye Onto Activated Carbon
Published 2005“…This Set Of Odes Was Then Integrated Using The Numerical Algorithm DIVPAG (IMSL Library Subroutine), Which Was Based On Gear’s Method. …”
Get full text
Get full text
Article -
18
A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
Published 2011“…The optimal simulation parameters can be used for the real application. …”
Get full text
Get full text
Get full text
Article -
19
High impedance fault detection and localization in 11kV distribution system / Mohd Syukri Ali
Published 2018“…Subsequent algorithm simulation results show that the proposed methods are able to detect and subsequently locate the faults with high accuracies. …”
Get full text
Get full text
Get full text
Thesis -
20
Optimization of turning parameters using genetic algorithm method
Published 2008“…The simulation based on Genetic Algorithm are successful develop and the optimum parameters values are obtained from the simulation.…”
Get full text
Get full text
Undergraduates Project Papers
