Search Results - computing series problems｜((data algorithms) OR (((descent algorithm) OR (learning algorithms))))~ :: K.UTB vyhledávací portál

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A novel learning algorithm based on computing the rules’ desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules

by Salimi-Badr, Armin, Ebadzadeh, Mohammad Mehdi
Published in Neurocomputing (Amsterdam) (22.01.2022)

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Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

by Attouch, Hedy, Bolte, Jérôme, Svaiter, Benar Fux
Published in Mathematical programming (01.02.2013)

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A novel double incremental learning algorithm for time series prediction

by Li, Jinhua, Dai, Qun, Ye, Rui
Published in Neural computing & applications (01.10.2019)

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DWE-IL: a new incremental learning algorithm for non-stationary time series prediction via dynamically weighting ensemble learning

by Yu, Huihui, Dai, Qun
Published in Applied intelligence (Dordrecht, Netherlands) (01.01.2022)

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Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems

by Khennour, Mohammed Elmahdi, Bouchachia, Abdelhamid, Kherfi, Mohammed Lamine, Bouanane, Khadra
Published in Neural computing & applications (01.09.2023)

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Efficient gradient descent algorithm with anderson acceleration for separable nonlinear models

by Chen, Guang-Yong, Lin, Xin, Xue, Peng, Gan, Min
Published in Nonlinear dynamics (01.05.2025)

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Automatic recognition of gait-related health problems in the elderly using machine learning

by Pogorelc, Bogdan, Bosnić, Zoran, Gams, Matjaž
Published in Multimedia tools and applications (01.05.2012)

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A discrete artificial bee colony algorithm for the distributed heterogeneous no-wait flowshop scheduling problem

by Li, Haoran, Li, Xinyu, Gao, Liang
Published in Applied soft computing (01.03.2021)

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A hybrid teaching–learning slime mould algorithm for global optimization and reliability-based design optimization problems

by Zhong, Changting, Li, Gang, Meng, Zeng
Published in Neural computing & applications (01.10.2022)

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Tight Hardness Results for Consensus Problems on Circular Strings and Time Series

Published in SIAM journal on discrete mathematics

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Surrogate-Assisted and Filter-Based Multiobjective Evolutionary Feature Selection for Deep Learning

by Espinosa, Raquel, Jimenez, Fernando, Palma, Jose
Published in IEEE transaction on neural networks and learning systems (01.07.2024)

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PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning

by Gupta, Aakansha, Katarya, Rahul
Published in Computers in biology and medicine (01.11.2021)

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Impact of Chaos Functions on Modern Swarm Optimizers

by Emary, E., Zawbaa, Hossam M.
Published in PloS one (13.07.2016)

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Short-term price forecasting of Nordic power market by combination Levenberg–Marquardt and Cuckoo search algorithms

by Kim, Mun Kyeom
Published in IET generation, transmission & distribution (01.10.2015)

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Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems

by Anter, Ahmed M., Ali, Mumtaz
Published in Soft computing (Berlin, Germany) (01.02.2020)

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Deep Learning for Time Series Forecasting: Advances and Open Problems

by Casolaro, Angelo, Capone, Vincenzo, Iannuzzo, Gennaro, Camastra, Francesco
Published in Information (Basel) (01.11.2023)

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EnsPKDE&IncLKDE: a hybrid time series prediction algorithm integrating dynamic ensemble pruning, incremental learning, and kernel density estimation

by Zhu, Gangliang, Dai, Qun
Published in Applied intelligence (Dordrecht, Netherlands) (01.02.2021)

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The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm

by Jiang, Manrui, Jia, Lifen, Chen, Zhensong, Chen, Wei
Published in Annals of operations research (01.02.2022)

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Application of Inverse Optimization Algorithms in Neural Network Models for Short-Term Stock Price Forecasting

by Gribanova, Ekaterina, Gerasimov, Roman, Viktorenko, Elena
Published in Big data and cognitive computing (01.09.2025)

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A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks

by Khan, Shujaat, Ahmad, Jawwad, Naseem, Imran, Moinuddin, Muhammad
Published in Circuits, systems, and signal processing (01.02.2018)

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