Search Results - Annealing robust backpropagation learning algorithm
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The annealing robust backpropagation (ARBP) learning algorithm
ISSN: 1045-9227Published: United States IEEE 01.09.2000Published in IEEE transactions on neural networks (01.09.2000)“… Even though various robust learning algorithms have been proposed in the literature, those approaches still suffer from the initialization problem…”
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Journal Article -
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Applying improved artificial neural network models to evaluate drilling rate index
ISSN: 0886-7798, 1878-4364Published: Oxford Elsevier Ltd 01.11.2017Published in Tunnelling and underground space technology (01.11.2017)“… In this paper, the hybrid artificial neural network (ANN) with back propagation (BP) algorithm, simulated annealing algorithm (SAA…”
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Journal Article -
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The covariance intersection fusion estimation algorithm weighted by diagonal matrix based on genetic simulated annealing algorithm and machine learning
ISSN: 1561-8625, 1934-6093Published: Hoboken Wiley Subscription Services, Inc 01.03.2023Published in Asian journal of control (01.03.2023)“… Secondly, the genetic simulated annealing (GSA) algorithm is used for multi‐parameter optimization problem caused by diagonal matrix weights…”
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Journal Article -
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Enhancing LightGBM for Industrial Fault Warning: An Innovative Hybrid Algorithm
ISSN: 2227-9717, 2227-9717Published: Basel MDPI AG 01.01.2024Published in Processes (01.01.2024)“… Machine learning technology, particularly the Light Gradient Boosting Machine (LightGBM), has emerged as a valuable tool for achieving effective fault warning in industrial settings…”
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Journal Article -
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A novel approach for TSK fuzzy modeling with outliers
ISBN: 0780378652, 9780780378650, 9780780381315, 0780381319Published: IEEE 2003Published in Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693) (2003)“… Recently, a new approach, fuzzy c-regression model (FCRM) clustering algorithm, is proposed to construct TSK fuzzy models…”
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Conference Proceeding -
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Novel Methods for Learning and Adaptation in Chemical Reaction Networks
ISBN: 9781321886412, 1321886411Published: ProQuest Dissertations & Theses 01.01.2015“… chemical species as well as the timing-sensitive feedback loops required for learning. Currently, biochemistry lacks a systems vision on how the user-level programming…”
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Dissertation

