Search Results - (( program using ann algorithm ) OR ( java application optimized algorithm ))
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Secondly, an expert system using Java programming technology with two tiers of search engine was developed to perform a fast selection of candidate materials in huge volume. …”
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Thesis -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…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). …”
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Thesis -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Conference or Workshop Item -
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization
Published 2022“…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. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
11
Differential evolution for neural networks learning enhancement
Published 2008“…These algorithms have widely been used to optimize the learning mechanism of classifiers, particularly on Artificial Neural Network (ANN) Classifier. …”
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Thesis -
12
Speed control of separately excited dc motor using artificial intelligent approach
Published 2013“…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.…”
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Thesis -
13
Hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…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). …”
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Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin
Published 2008“…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. …”
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Thesis -
15
Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman
Published 2024“…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. …”
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Thesis -
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A hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…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). …”
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Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau
Published 2003“…Results from existing Genetic Algorithm (GA) program were used as the NN training and testing data set. …”
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