Search Results - computing systems processes｜((em algorithms) OR (((descent algorithms) OR (learning algorithms))))* :: K.UTB vyhledávací portál

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Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network

by Seeli, D. Jeni Jeba, Thanammal, K. K.
Published in Multimedia tools and applications (01.02.2024)

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A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis

by Li, Jinli, Luo, Xin, Yuan, Ye, Gao, Shangce
Published in IEEE Transactions on Automation Science and Engineering (01.07.2024)

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Understanding and optimizing asynchronous low-precision stochastic gradient descent

by De Sa, Christopher, Feldman, Matthew, Re, Christopher, Olukotun, Kunle
Published in 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA) (01.06.2017)

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Federated Learning Over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis

by Xing, Hong, Simeone, Osvaldo, Bi, Suzhi
Published in IEEE journal on selected areas in communications (01.12.2021)

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Machine‐learning‐based predictive control of nonlinear processes. Part II: Computational implementation

by Wu, Zhe, Tran, Anh, Rincon, David, Christofides, Panagiotis D.
Published in AIChE journal (01.11.2019)

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MAGMA: inference and prediction using multi-task Gaussian processes with common mean

by Leroy, Arthur, Latouche, Pierre, Guedj, Benjamin, Gey, Servane
Published in Machine learning (01.05.2022)

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Machine learning‐based predictive control of nonlinear processes. Part I: Theory

by Wu, Zhe, Tran, Anh, Rincon, David, Christofides, Panagiotis D.
Published in AIChE journal (01.11.2019)

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Machine learning for accelerating process‐based computation of land biogeochemical cycles

by Sun, Yan, Goll, Daniel S., Huang, Yuanyuan, Ciais, Philippe, Wang, Ying‐Ping, Bastrikov, Vladislav, Wang, Yilong
Published in Global change biology (01.06.2023)

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Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling

by Chu, Fei, Liang, Tao, Chen, C. L. Philip, Wang, Xuesong, Ma, Xiaoping
Published in IEEE transaction on neural networks and learning systems (01.08.2020)

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A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

by Singh, Rajesh, Vishal, V., Singh, T. N., Ranjith, P. G.
Published in Neural computing & applications (01.08.2013)

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Machine learning‐based distributed model predictive control of nonlinear processes

by Chen, Scarlett, Wu, Zhe, Rincon, David, Christofides, Panagiotis D.
Published in AIChE journal (01.11.2020)

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Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes

by Diaz-Rozo, Javier, Bielza, Concha, Larranaga, Pedro
Published in IEEE internet of things journal (01.10.2018)

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Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning

by Bitar, Rawad, Wootters, Mary, El Rouayheb, Salim
Published in IEEE journal on selected areas in information theory (01.05.2020)

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Use of Neural Networks for Stable, Accurate and Physically Consistent Parameterization of Subgrid Atmospheric Processes With Good Performance at Reduced Precision

by Yuval, Janni, O'Gorman, Paul A., Hill, Chris N.
Published in Geophysical research letters (28.03.2021)

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Gradient Descent Using Stochastic Circuits for Efficient Training of Learning Machines

by Liu, Siting, Jiang, Honglan, Liu, Leibo, Han, Jie
Published in IEEE transactions on computer-aided design of integrated circuits and systems (01.11.2018)

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A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments

by Padakandla, Sindhu
Published in ACM computing surveys (31.07.2022)

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Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process

by McQuarrie, Shane A., Huang, Cheng, Willcox, Karen E.
Published in Journal of the Royal Society of New Zealand (01.06.2021)

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Data-driven width spread prediction model improvement and parameters optimization in hot strip rolling process

by Zhong, Yanjiu, Wang, Jingcheng, Xu, Jiahui, Rao, Jun, Dang, Kangbo
Published in Applied intelligence (Dordrecht, Netherlands) (01.11.2023)

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Detection of Man-in-the-Middle (MitM) Cyber-Attacks in Oil and Gas Process Control Networks Using Machine Learning Algorithms

by Obonna, Ugochukwu Onyekachi, Opara, Felix Kelechi, Mbaocha, Christian Chidiebere, Obichere, Jude-Kennedy Chibuzo, Akwukwaegbu, Isdore Onyema, Amaefule, Miriam Mmesoma, Nwakanma, Cosmas Ifeanyi
Published in Future internet (01.08.2023)

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Multi-objective optimization of machining and micro-machining processes using non-dominated sorting teaching–learning-based optimization algorithm

by Rao, R. Venkata, Rai, Dhiraj P., Balic, J.
Published in Journal of intelligent manufacturing (01.12.2018)

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