Search Results - (( simulation activation function algorithm ) OR ( based application need algorithm ))
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…Nonlinear FXLMS (NLFXLMS) control algorithm based on SEF has been previously developed to cancel the noise in environment with external factors that can cause nonlinearity. …”
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Performance evaluation of Modified Widrow-Hoff ADALINE under effect of photovoltaic with shunt active power filter
Published 2016“…Therefore, this algorithm is proposed, and further designed and developed for PV based SAPF, as simulated in MATLAB/Simulink. …”
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Mitigation of harmonic current for balanced three-phase power system based on Extended Fryze Adaptive notch filter
Published 2023“…The proposed algorithm also improved the design by eliminating the needs of low pass filter as others time domain algorithms. …”
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Article -
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Enhanced marking process (EMP) for constructing dominating set in mobile ad-hoc networks with unidirectional links
Published 2014“…The proposed algorithm is integrated with AODV routing protocol to generate a connected dominating set that will be responsible on flooding activity. …”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…The proposed algorithm is evaluated using the WorkflowSim simulation with a real dataset. …”
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Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…There have two most uses activation function namely tansig and logsig. The essence of this study is that it compares the effect of activation functions (tansig and logsig) in the performance of time series forecasting since activation function is the core element of any artificial neural network model. …”
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Optimization of coded signals based on wavelet neural network
Published 2015“…Each hidden layer uses Morlet function as activation function. WNN is a new class of network that combines the classic sigmoid neural network and wavelet analysis. …”
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Progress based assist-as-needed control strategy for upper-limb rehabilitation
Published 2018“…In this study, we propose a progress-based assist-as-needed algorithm (pAAN) which rely on subject’s realtime functional ability record to drive robotic assistance. …”
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Proceeding Paper -
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Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…The whole constraint analyzer and the fitness function were combined with four SBTs (genetic algorithm, evolutionary algorithm, simulating annealing, and quantum genetic algorithm). …”
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Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh
Published 2006“…For this purpose, the Lavenberg-Marquardt back propagation algorithm was used. A standard three layer feed-forward neural network with tan-sigmoid (tansig) activation functions in the hidden layer and purelin at the output layer is used for this test. …”
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
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Design and Modelling of an Energy Aware Dynamic Management for Wireless Sensor Node with Dual Harvesters
Published 2020“…The function of the algorithm is to detect the energy sources availability and control the nodes' sleeping period accordingly. …”
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Design of Artificial Neural Network (ANN) based rotor speed estimator for DC drives / Siti Mutrikah Abd Mokhsin
Published 2002“…The variable input data of armature voltage and armature current and the output rotor speed data was collected by using training data obtained by simulation of the drive system. For this purpose the Levenberg-Marquardt back-propagation algorithm was used. …”
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Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement
Published 2016“…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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Performance of Multi-Layer Perceptron Neural Networks with an Exponential Decay Activation Function in Airwaves Estimation
Published 2013“…The benchmark for the performance evaluation is by comparing the exponential decay activation function with log-sigmoid and tan-sigmoid activation functions through back propagation algorithm. …”
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Citation Index Journal -
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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…The NLFXLMS algorithm is a stochastic gradient algorithm that incorporates the derivative of a nonlinear plant model which is represented by the scaled error function (SEF) in the controller design. …”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…The results showed that the parallel algorithms for EHD simulations may provide 4 to 5 times more speedup over sequential algorithm for large grid sizes. …”
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Application of artificial neural network to simulate phenolic content and antioxidant activity during spontaneous fermentation of Carica papaya leaf / Nur Syahira Mohammad and Moha...
Published 2020“…The transfer function used in this research project was hyperbolic tangent sigmoid with the Levenberg- Marquadt algorithm training function. …”
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