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Toxic Gas Dispersion Model Based On Neural Pattern Recognition Networks by Roslan, Nurfarah Arina

“…First, NPR development is developed using three different algorithms which are Levenberg-Marquart (LM), Bayesian Regularization (BR) and Scaled Conjugated Gradient (SCG) to propose the best network algorithm using 70% training and 10-28 hidden neurons. …”
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Development of a wireless mesh network routing algorithm for oil and gas pipeline networks by Azman, Amierul Syazrul Azril

“…The second purpose of this research is to analyse the performance of the developed algorithm. A reactive routing algorithm, known as Odd-Even for Grid (OEG), has been developed for grid multi-hop topology to ensure the network is applicable for an application that requires wide coverage area, such as oil and gas refinery pipeline integrity monitoring. …”
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Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar by Subri, Syarul Haniz

“…Back propagation neural network algorithm was used to develop and produce the classifier for corner detector algorithm. …”
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Identification algorithms of flexible structure using neural networks by Ismail, R., Ismail, A. Y., Mat Darus, I. Z.

“…Furthermore, non-parametric models of the system are developed using Multi-layer Perceptron Neural Networks (MLP-NN) and Elman Neural Networks (ENN). …”
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network by Abduh Kaid, Monir Abdullah

“…The first approach is to develop an efficient sequential algorithm for the window method. …”
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The use of people rank technique for data dissemination in opportunistic network by Donna, Christen George

“…In this paper, we are going to develop on one of the forwarding algorithm, People Rank algorithm, which is a social-based forwarding algorithm. …”
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Application Of Neural Network In Malaria Parasites Classification by Lim, Chia Li

“…Hybrid Multilayer Perceptron (HMLP) network with modified recursive prediction error algorithm will be developed using Borland C++ Builder. …”
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Loss reduction in distribution networks using new network reconfiguration algorithm by Kashem, M.A., Moghavvemi, M., Mohamed, A., Jasmon, G.B.

“…For this purpose a simple-to-use formula, called loop loss reduction formula, has been developed. …”
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Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks by Mohamed, Mohamed Awad Elshaikh

“…In this thesis, I2tswTCM is proposed as an enhanced version of the famous tswTCM marker scheme used in the current DiffServ architecture, this new algorithm improves fairness in the excess bandwidth among different aggregates in a DiffServ networks and it has a better fairness than all other algorithms for different network provision levels. …”
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Hybrid algorithm for NARX network parameters' determination using differential evolution and genetic algorithm by Salami, Momoh Jimoh Eyiomika, Tijani, Ismaila, Isqeel , Abdullateef Ayodele, Aibinu, Abiodun Musa

“…A hybrid optimization algorithm using Differential Evolution (DE) and Genetic Algorithm (GA) is proposed in this study to address the problem of network parameters determination associated with the Nonlinear Autoregressive with eXogenous inputs Network (NARX-network). …”
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Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition by Yahya, Anwar Ali, Mahmod, Ramlan, Ramli, Abd Rahman

“…The model is evaluated against two previously proposed models and the results confirm the potentiality of dynamic Bayesian networks for dialogue act recognition. In the second stage, the developed variable length genetic algorithm is used to select different sets of lexical cues to constitute the dynamic Bayesian networks' random variables. …”
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Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding by Mahmoud, Omer, Anwar, Farhat, Salami, Momoh Jimoh Emiyoka

“…Based on Gradient Descent, Conjugate Gradient, Quasi-Newton techniques three different error back propagation algorithms have been developed for use in training two types of neural networks, a single hidden layer network and three hidden layers network. …”
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Network reconfiguration and control for loss reduction using genetic algorithm by Jawad, Mohamed Hassan Izzaldeen

“…The methodology developed a combined optimization technique. Also capacitor placement employing Genetic Algorithm is presented in achieving the proper arrangement of capacitor in a distribution network. …”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

“…Genetic algorithm and simulated annealing techniques are used to optimize the control parameters of the neural network. …”
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Resource allocation in coordinated multipoint long term evolution-advanced networks by Katiran, Norshidah

“…The CLD-ORA algorithm has further enhanced the LRA and ORA algorithms with network sum-rate improvement of 77% and 33%, respectively. …”
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Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic: article / Aini Azmi by Azmi, Aini

“…Research benefits in the development of design network especially for bandwidth used on Video used in a network.…”
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Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic / Aini Azmi by Azmi, Aini

“…Research benefits in the development of design network especially for bandwidth used on Video used in a network.…”
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Traffic management algorithms for LEO satellite networks by Huyop @ Ayop, Fahrul Hakim

“…In this thesis, several proposed algorithms have been developed to improve the traffic performance in the LEO satellite network. …”
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Letter recognition using backpropagation algorithm by Azrul Hafiz, Awang

“…The objective of tbi project is to implement Backpropagation Neural Network for letter recognition task. This application will be developed using C++ Builder. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

“…This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.…”
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