Search Results - computing series problems｜((cfd 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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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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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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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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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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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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An efficient particle swarm optimization algorithm to solve optimal power flow problem integrated with FACTS devices

by Naderi, Ehsan, Pourakbari-Kasmaei, Mahdi, Abdi, Hamdi
Published in Applied soft computing (01.07.2019)

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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 comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem

by Ahmed, Ali Najah, Van Lam, To, Hung, Nguyen Duy, Van Thieu, Nguyen, Kisi, Ozgur, El-Shafie, Ahmed
Published in Applied soft computing (01.07.2021)

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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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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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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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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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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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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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The ɛ-constraint as a learning strategy in the population-based algorithm: The case of Bi-Objective Obnoxious p-Median Problems

by Aïder, Méziane, Azzi, Aida-Ilham, Hifi, Mhand
Published in Knowledge-based systems (08.04.2023)

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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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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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Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?

by Arcolezi, Héber Hwang, Couchot, Jean-François, Renaud, Denis, Al Bouna, Bechara, Xiao, Xiaokui
Published in Neural computing & applications (01.08.2022)

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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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