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The effect of adaptive parameters on the performance of back propagation
Published 2012“…In this method, each training pattern has its own activation functions of neurons in the hidden layer. …”
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Development of a new method of crack modeling and prediction algorithm
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A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically
Published 2008“…Thus the core of the algorithm is a level set function that has the availability to manage separating and joining liver boundary routinely. …”
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Sliding Mode Speed Control for Induction Motor Drives with State-Dependent Gain Method
Published 2013“…In this research, the chattering phenomenon is significantly reduced by a newly developed algorithm. A fast sigmoid function with varying boundary layer algorithm is designed as a state-dependent to replace the discontinuous function in conventional sliding mode control. …”
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Diagnosis of vocal fold pathology using time-domain features and systole activated neural network
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Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…Meanwhile, pattern recognition is using Probability Density Function (PDF) to determine MUAP according to type of activities. …”
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Computational prediction of changes in brain metabolic fluxes during Parkinson’s disease from mRNA expression
Published 2018“…Here we explore the hypothesis that changes in gene expression for enzymes tend to parallel flux changes in biochemical reaction pathways in the brain metabolic network. …”
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Improved back propagation neural network for the diagnosis of pathological voices
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Dynamic control and performance of dual active bridge converter based particle swarm optimization
Published 2022“…This paper presents analysis of the dynamic response of the isolated bidirectional dual active bridge (DAB) DC-DC converter using particle swarm optimization (PSO) algorithm. …”
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Comparison between Levenberg-Marquardt and scaled conjugate gradient training algorithms for ionosphere condition using Multilayer Perceptrons / Mohd Sharif Ibrahim
Published 2010“…Ionosphere has a tendency to change due to the influence from the solar activity, which make it important to study the ionosphere layer. …”
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Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
Published 2022“…This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. The DAB performance with the proposed controller is evaluated in terms of steady-state error, eSS and dynamic performance under various reference voltages at different loads and load step changes. …”
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State-dependent sliding mode control for three-phase induction motor drives
Published 2014“…The main obstacle of conventional sliding mode control is caused by discontinuous function of high control activity which is known as chattering phenomenon. …”
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Using genetic algorithms to optimise land use suitability
Published 2012“…Second task is to determine the fitness function for the genetic algorithms. The third objective is to optimize the land use map using economic benefits. …”
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Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid
Published 2023“…This optimization framework was carried out to identify the optimal sizes and placements of multiple DGs while contemplating the active power loss minimization of the system as the objective function. …”
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Predicting noise-induced hearing loss (NIHL) in TNB workers using GDAM algorithm
Published 2012“…Previously, several modifications were suggested to improve the convergence rate of Gradient Descent Back-propagation algorithm such as careful selection of initial weights and biases, learning rate, momentum, network topology, activation function and ‘gain’ value in the activation function. …”
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Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah
Published 2017“…Finally, the development of prototype microcontroller-based CAWS featuring MSDG activation algorithm has been developed. The accuracy and the functionality of the system has been tested and validated. …”
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20
Time-Variant online Auto-Tuned PI controller using PSO algorithm for high accuracy dual active bridge DC-DC converter
Published 2022“…This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. The DAB performance with the proposed controller is evaluated in terms of steady-state error, eSS and dynamic performance under various reference voltages at different loads and load step changes. …”
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