Search Results - (( parameter extraction research algorithm ) OR ( using function using algorithm ))
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…In the sizing of the SAPV system, the mutation adaptive DE (MADE) algorithm based multi-objective functions minimizes three constraint objective functions. …”
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Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim
Published 2016“…The data undergo the pre-processed phase which consists of edge detection, adaptive thresholding segmentation and MATLAB regionprops function for feature extraction. The main goal of the research is to apply the concept of Genetic Algorithm (GA) that can classify hand movements as unlawful behavior in videos. …”
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Cardiac abnormality prediction using tansig based multilayer perceptron
Published 2021“…In this study all MLP networks were activated using the Tansig activation function.…”
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Differentiating Agarwood Oil Quality Using Artificial Neural Network
Published 2013“…Back-propagation training algorithm and sigmoid transfer function were used to optimize the parameters in the training network. …”
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An improvement of back propagation algorithm using halley third order optimisation method for classification problems
Published 2020“…Besides, they generally depend on the parameters‟ selections. Thus, improving the BP learning efficiency has become an important area of research and consideration specifically in optimisation point of view. …”
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Design of combined robust controller for a pneumatic servo actuator system with uncertainty
Published 2011“…Particle swarm optimization (PSO) algorithm is used to tune the weighting functions. …”
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Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, a...
Published 2025“…However, achieving precise RUL prediction for electric vehicles presents a challenging task due to several issues related to intricate operational characteristics and dynamic shifts in model parameters throughout the aging process, battery parameters data extraction, data preprocessing, and hyperparameters tuning of the prediction model. …”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…Back-propagation training algorithm and sigmoid transfer function were used to optimise the parameters in the training network. …”
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Establishment of spectral subtraction-based algorithm for experimental modal analysis under operating condition
Published 2022“…Experimental modal analysis (EMA) is one of the techniques used to identify the dynamic properties of a structure. …”
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Google the earth: what's next?
Published 2010“…Satellite imagery/data can be used for everything from ground truthing and change detection, to more sophisticated analyses, including feature extraction and natural hazard prediction. …”
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Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures
Published 2020“…In our future research, we intend to investigate the effectiveness of deep representations, extracted using ISA-95:2005 Level 2-3 traffic comprising of SCADA systems, for anomaly detection in critical O&G systems. …”
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EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…The IncFRNN algorithm is able to control the size of training pool using predefined window size threshold. …”
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Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field
Published 2018“…Theoretically,β and α is parameters that used to vary the NMF2D algorithm in order to yield high SDR value. …”
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Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis
Published 2016“…Next step to assist the most relevant feature extraction was the definition of mother wavelet function. …”
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Task-state EEG signal classification for spatial cognitive evaluation based on multiscale high-density convolutional neural network
Published 2022“…The MHCNN classification method proposed in this research could be used as an effective biological indicator of spatial cognitive training effect and could be extended to other brain function evaluations.…”
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Novel parameter extraction for single, double, and three diodes photovoltaic models based on robust adaptive arithmetic optimization algorithm and adaptive damping method of Berndt...
Published 2022“…Experimental data-oriented parameter extraction helps in giving an accurate assessment to forecast the output current of the photovoltaic cells. …”
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