Search Results - (( program using ann algorithm ) OR ( java application stemming algorithm ))

Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus by Darus, Zamzuhairi

“…This project proposed on an investigation on the voltage stability margin identification using evolution programming learning algorithm. A multilayer feed-forward artificial neural network (ANN) with evolution programming learning algorithm for calculation of voltage stability margins (VSM). …”
Get full text
Get full text

Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization by Lee, Jesee Kar Ming

“…The objective of this research is to develop and compare various ANN spray drying coconut milk models. Firstly, using MATLAB program, the ANN model is developed based on optimized topology and is then furthered optimized by genetic algorithm (GA) and particle swarm optimization (PSO) using MINITAB program. …”
Get full text
Get full text

A new islanding detection technique based on passive parameter using a combination of artificial neural network and evolutionary programming algorithm / Hasmaini Mohamad …[et al.]... by Mohamad, Hasmaini, Ab Salam, Aimie Nadia, Md Razali, Norhasniza, Salim, Nur Ashida, Mat Yasin, Zuhaila

Get full text
Get full text
Get full text

Performance analysis of three ANN models using improved fast evolutionary programming for power output prediction in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Y... by Megat Yunus, Puteri Nor Ashikin, Sulaiman, Shahril Irwan, Omar, Ahmad Maliki

Get full text
Get full text
Get full text

Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

“…These algorithms have widely been used to optimize the learning mechanism of classifiers, particularly on Artificial Neural Network (ANN) Classifier. …”
Get full text
Get full text
Get full text

Speed control of separately excited dc motor using artificial intelligent approach by Bernard, Albinus

“…The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results are presented to demonstrate the effectiveness and the proposed of this neural network controller produce significant improvement control performance and advantages of the control system DC motor with ANNs in comparison to the conventional controller without using ANNs.…”
Get full text
Get full text
Get full text

Hybrid intelligent active force controller for robot arms using evolutionary neural networks by Hussein, S. B., Jamaluddin, H., Mailah, M., Zalzala, A. M. S.

“…In this paper, we propose a hybrid intelligent parameter estimator for the active force control (AFC) scheme which utilizes evolutionary computation (EC) and artificial neural networks (ANN) to control a rigid robot arm. The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an evolutionary program (EP). …”
Get full text
Get full text

Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin by Husin, Hapida

“…The data has been chunk into a few series to determine the significant variables for predicting churn. Computer program were written in Matlab to implement the training and testing programs for the ANN algorithms. …”
Get full text
Get full text

Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman by Mat Norman, Mohd Arif

“…The prediction tool utilises an Artificial Neural Network (ANN) with a two-layer feed-forward algorithm and ten hidden layers, using Levenberg-Marquardt as the training algorithm. …”
Get full text
Get full text

A hybrid intelligent active force controller for robot arms using evolutionary neural networks by Hussein, S.B, Jamaluddin, H, Mailah, M, Zalzala, A.M.S

“…In this paper, we propose a hybrid intelligent parameter estimator for the active force control (AFC) scheme which utilizes evolutionary computation (EC) and artificial neural networks (ANN) to control a rigid robot arm. The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an evolutionary program (EP). …”
Get full text
Get full text

Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau by Engkiau, Robert

“…Results from existing Genetic Algorithm (GA) program were used as the NN training and testing data set. …”
Get full text
Get full text

Backpropagation algorithm for classification problem: academic performance prediction model for UiTM Melaka Mengubah Destini Anak Bangsa (MDAB) program. / Fadhlina Izzah Saman, Nur... by Saman, Fadhlina Izzah, Zainuddin, Nurulhuda, Md Shahid, Khairiyah

Get full text
Get full text

Current applications of machine learning in dentistry by Ghazali, Ahmad Badruddin, Reduwan, Nor Hidayah, Ibrahim, Roliana

“…The quality of the output depends on the quality of data used to train and validate the algorithm (Rowe, 2019). …”
Get full text
Get full text

ANN-based mango external quality grading system by A. Aziz, M. Rashdi, Htike@Muhammad Yusof, Zaw Zaw

“…In this project, Python programming language is used since the selected hardware for this particular system to run the image processing is by using the Raspberry Pi (mini computer). …”
Get full text
Get full text
Get full text

Differentiating Agarwood Oil Quality Using Artificial Neural Network by Saiful Nizam, Tajuddin, Nurlaila, Ismail, Nor Azah, Mohd Ali, Mailina, Jamil, Mohd Hezri, Fazalul Rahiman, Mohd Nasir, Taib

“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
Get full text
Get full text
Get full text

Adopting machine learning to automatically identify a suitable surgery type for refractive error patients by Mustafa Ali Malla, Al-Beak, Omar Hussien, Duaa Mowafaq Hameed, Al-Hatab, Marwa Mawfaq Mohamedsheet, Al-Nima, Raid Rafi Omar, Mohammed Sabah Jarjees, Al-Maqsood, Khalil A. K.

“…ML is dedicated to the advancement and use of algorithms that possess the capacity to acquire knowledge from data and enhance their predictive capabilities without explicit programming. …”
Get full text
Get full text
Get full text

Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu by Pala, Tuba, Camurcu, Ali Yilmaz

“…Multilayer Perceptron algorithm has been the best algorithm with the highest success percentage in both of the programs; Decision Trees has been the algorithm which has the lowest success percentage again in both of the programs. …”
Get full text
Get full text
Get full text

Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil by Yong, Shirley Xiao Wei

“…Therefore, a programming was written by using MATLAB 6.5 and train with eight different training algorithm, namely Resilient Backpropagation (rp), Conjugate Gradient Polak-Ribiére algorithm (cgp), Scale Conjugate Gradient (scg), Levenberg-Marquardt algorithm (lm), BFGS Quasi-Newton (bfg), Conjugate Gradient with Powell/Beale Restarts (cgb), Fletcher-Powell Conjugate Gradient (cgf), and One-step Secant (oss) have been compared for the best prediction of Cc. …”
Get full text
Get full text
Get full text

Monitoring and prediction of bearing failure by acoustic emission and neural network by Mahamad, Abd Kadir

“…The data was then used to develop thc model using ANN for bearing fault prediction model. …”
Get full text
Get full text
Get full text
Get full text

Development of learning algorithm of passive joint for 3R under-actuated robot / Mohd Amiruddin Fikri Yaakob by Yaakob, Mohd Amiruddin Fikri

“…The approach embedded Artificial Neural Network (ANN) algorithm and SIMULINK block diagram. Experiments were conducted to predict an algorithm on position angle measurement either SIMULINK block diagram or program code method applied to three joints; Active 1, Active 2 and Passive respectively. …”
Get full text
Get full text