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Closed Forms for the Fully-Connected Continuous Flock of Starlings Optimization Algorithm., , и . UKSim, стр. 45-50. IEEE, (2013)On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review., , , и . Comput. Intell. Neurosci., (2015)Computer Modeling of Nickel-Iron Alloy in Power Electronics Applications., , , , , и . IEEE Trans. Ind. Electron., 64 (3): 2494-2501 (2017)A novel method for dynamic battery model identification based on CFSO., , , и . PRIME, стр. 57-60. IEEE, (2019)Numerical Dynamic Modeling and Analysis of DC-DC Converters for Photovoltaic Applications., , , и . RTSI, стр. 389-393. IEEE, (2019)Two FPGA-Oriented High-Speed Irradiance Virtual Sensors for Photovoltaic Plants., , , , , , и . IEEE Trans. Ind. Informatics, 13 (1): 157-165 (2017)SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds., , , , , , , и . Comput. Math. Methods Medicine, (2013)The Flock of Starlings Optimization: Influence of Topological Rules on the Collective Behavior of Swarm Intelligence., и . Computational Methods for the Innovative Design of Electrical Devices, том 327 из Studies in Computational Intelligence, (2011)Parallel Algorithm Based on Singular Value Decomposition for High Performance Training of Neural Networks., , , , , и . ICCS (5), том 11540 из Lecture Notes in Computer Science, стр. 581-587. Springer, (2019)Swarm intelligence based approach for efficient training of regressive neural networks., и . Neural Comput. Appl., 32 (14): 10693-10704 (2020)