Articles with "parallel distributed" as a keyword



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Adaptive resonant based multi-loop control strategy for parallel distributed generation units in standalone microgrid application

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Published in 2017 at "Electric Power Systems Research"

DOI: 10.1016/j.epsr.2016.10.010

Abstract: Abstract This paper proposes a novel control strategy to deal efficiently with the recurrent frequency and amplitude adjustments that occur in standalone microgrid application. These frequent variations are commonly introduced by the droop based controllers… read more here.

Keywords: parallel distributed; control; standalone microgrid; microgrid application ... See more keywords
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Parallel Distributed Processing Theory in the Age of Deep Networks

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Published in 2017 at "Trends in Cognitive Sciences"

DOI: 10.1016/j.tics.2017.09.013

Abstract: Parallel distributed processing (PDP) models in psychology are the precursors of deep networks used in computer science. However, only PDP models are associated with two core psychological claims, namely that all knowledge is coded in… read more here.

Keywords: processing theory; distributed processing; age deep; parallel distributed ... See more keywords
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Deep Learning Algorithms and Parallel Distributed Computing Techniques for High-Resolution Load Forecasting Applying Hyperparameter Optimization

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Published in 2022 at "IEEE Systems Journal"

DOI: 10.1109/jsyst.2021.3130080

Abstract: Electrical load forecasting is one of the critical tasks that helps power utility companies in planning and operation as well as the energy managementsystem (EMS) in controlling and optimizing the power grid’s performance. It guarantees… read more here.

Keywords: learning algorithms; hyperparameter optimization; load forecasting; parallel distributed ... See more keywords
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Parallel and Distributed Structured SVM Training

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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2021.3101155

Abstract: Structured Support Vector Machines (structured SVMs) are a fundamental machine learning algorithm, and have solid theoretical foundation and high effectiveness in applications such as natural language parsing and computer vision. However, training structured SVMs is… read more here.

Keywords: training structured; structured svm; training; parallel distributed ... See more keywords
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Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory

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Published in 2017 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2016.2637317

Abstract: In this two-part paper, we propose a general algorithmic framework for the minimization of a nonconvex smooth function subject to nonconvex smooth constraints, and also consider extensions to some structured, nonsmooth problems. The algorithm solves… read more here.

Keywords: part; parallel distributed; methods constrained; optimization ... See more keywords
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Mobile Cloud for Parallel and Distributed Green Computing

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Published in 2018 at "Journal of telecommunications and information technology"

DOI: 10.26636/jtit.2017.111817

Abstract: Mobile Computing and Mobile Cloud Computing are the areas where intensive research is observed. The “mobility” landscape (devices, technologies, apps, etc.) evolves so fast that definitions and taxonomies do not catch up with so dynamic… read more here.

Keywords: parallel distributed; cloud parallel; green computing; cloud ... See more keywords