Search Results - computing series problems｜((ca algorithms) OR (((sorting algorithms) 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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Multi-objective reliability optimization of series-parallel systems with a choice of redundancy strategies

by Safari, Jalal
Published in Reliability engineering & system safety (01.12.2012)

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Effect of learning strategies in an evolutionary method: the case of the bi-objective quadratic multiple knapsack problem

by Aïder, Méziane, Gacem, Oussama, Hifi, Mhand
Published in Neural computing & applications (01.01.2023)

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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 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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Guide to Competitive Programming: Learning and Improving Algorithms Through Contests

by Laaksonen, Antti
Year of Publication 2020

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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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A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm

by Li, Xin, An, Qing, Zhang, Jun, Xu, Fan, Tang, Ruoli, Dong, Zhengcheng, Zhang, Xiaodi, Lai, Jingang, Mao, Xiaobing
Published in Applied intelligence (Dordrecht, Netherlands) (01.11.2021)

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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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An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems

by Tavana, Madjid, Khalili-Damghani, Kaveh, Di Caprio, Debora, Oveisi, Zeynab
Published in Neural computing & applications (01.07.2018)

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Bi-objective sequence optimization in reliability problems with a matrix-analytic approach

by Juybari, Mohammad N., Guilani, Pardis Pourkarim, Ardakan, Mostafa Abouei
Published in Annals of operations research (01.05.2022)

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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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