Search Results - (feed OR need)-forward ((propagation algorithm) OR (optimization algorithm))

Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm by Khoo, Thau Soon

“…To solve this problem, it needs to be modelled and an algorithm is needed to be developed and tested to ascertain its efficiency and effectiveness. …”
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Lithium-ion Battery State of Charge Estimation Method Using Optimized Deep Recurrent Neural Network Algorithm by Lipu M.S.H., Hannan M.A., Hussain A., Saad M.H.M., Ayob A., Muttaqi K.M.

DTWFF-pitch feature and faster neural network convergence for speech recognition by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

“…Another task included in this paper is to find the optimal global minimum of the NN surface using the conjugate gradient algorithm to replace the steepest gradient descent in the back-propagation algorithm. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

“…Multilayer Feedforward Back Propagation (MLFFBP) was used. Among the available learning algorithms in the Neural Network Toolbox of MATLAB, three algorithms, gradient descent back propagation (TRAINGD), gradient descent with adaptive learning rule back propagation (TRAINGDA) and the Levenberg-Marquardt (TRAINLM) were studied. …”
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Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution by Tijani, Ismaila B., Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus

“…This study proposes a hybrid of conventional back propagation training algorithm for the NARX network and multiobjective differential evolution (MODE) algorithm for identification of a nonlinear model of an unmanned small scale helicopter from experimental flight data.The proposed hybrid algorithm was able to produce models with Pareto-optimal compromise between the design objectives. …”
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Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi by Ahmad Nah Rodzi, Nah Izzattie Itqan

“…The data will be obtained from the actual event and the result will be compared. This Genetic Algorithm (GA) will determined the best and the shortest route from one point into another point that need to be taken by the riders. …”
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State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm by Lipu M.S.H., Hannan M.A., Hussain A., Saad M.H.M., Ayob A., Blaabjerg F.

Optimization of yeast fermentation process using genetic algorithm by Sin, Helen Ee Chuo, Yuh, Christine King Lo, Min, Keng Tan, Heng Jin Tham, Jin Tham, Sivakumar Kumaresan, Tze, Kenneth Kin Teo

“…Since the excessive ethanol formation in the yeast fermentation process will have a negative impact on quality of the product, it is needed to optimize glucose feeding rate at optimal level for maximizing the yeast productivity. …”
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Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail by Sh. Ismail, Faridah

“…This situation can be solved by embedding Genetic Algorithm (GA) in the network to replace back-propagation method……”
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Optimization of signalized traffic network using swarm intelligence by Min, Keng Tan, Kit Guan Lim, Mohd.Riezman Ladillah, Ka, Renee Yin Chin, Sin, Helen Ee Chuo, Tze, Kenneth Kin Teo

“…Besides to optimize the signal timing, the local intersection controller needs to collaborate with neighboring intersection controllers for minimizing the average delay for whole network as the congestion will be propagated to the downstream intersection. …”
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An intelligent condition monitoring system for fault diagnosis of rotating machinery using expert systems with optimization techniques by Satyanarayana, M. R. S., Dr.

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Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail by Sh. Ismail, Faridah

“…This situation can be solved by embedding Genetic Algorithm (GA) in the network to replace back-propagation method. …”
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Crack simulation for the cover of the landfill – A seismic design by Namdar, Abdoullah, Omer, Mughieda, Filippo, Berto, Nurmunira, Muhammad

“…The numerical simulation shows differential displacement of the landfill impacts on the crack propagation and the need for the appropriate design of the cover thickness of the landfill.…”
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Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

“…An alternative method is proposed, utilizing machine learning algorithms. Therefore, this thesis explores the comparative analysis for BOTDA data processing using the six most suited machine learning algorithms. …”

Optimization of cnc turning parameters for minimizing temperature rise in aluminum using a genetic algorithm by Mimi Muzlina, Mukri

“…In the second optimization process, machining parameters such as cutting speed, feed rate, and depth of cut are optimized using a multi-objective genetic algorithm to concurrently lower temperature rise and surface roughness. …”
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Application of artificial neural network for voltage stability monitoring / Valerian Shem by Shem, Valerian

“…To solve this problem, this simulation implements the Artificial Neural Network approach using both standard back-propagation technique and hybrid technique (standard backpropagation and genetic algorithm (GA)). …”
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Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption by Zamani, Seyed Ali

“…The incremental back propagation algorithm demonstrated the best results and which has been used as learning algorithm for ANN in combination with Genetic Algorithm in the optimization. …”
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Energy cost optimization in high speed hard turning using simulated annealing algorithm by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Hassan, Muhammad Hasibul, Shaffiar, Norhashimah

“…Then, the Simulated Annealing Algorithm (SAA) has been used to optimize the cutting parameters. …”
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Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO2-based photocatalysts by Ayodele B.V., Alsaffar M.A., Mustapa S.I., Vo D.-V.N.

Profit Optimization of a Refrigerated Gas Plant by Yusoff, Nooryusmiza, Ramasamy , Marappagounder, Yusup, Suzana

“…To widen its profit margin, the plant needs to operate more efficiently. This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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