Development of a method for structural optimization of a neural network based on the criterion of resource utilization efficiency

Author:

Lutsenko IgorORCID,Mykhailenko OleksiiORCID,Dmytriieva OksanaORCID,Rudkovsky OleksandrORCID,Mospan DenisORCID,Kukharenko DmitriyORCID,Kolomits HannaORCID,Kuzmenko ArtemORCID

Publisher

Private Company Technology Center

Subject

Applied Mathematics,Electrical and Electronic Engineering,Management of Technology and Innovation,Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference22 articles.

1. Generalized approximation theorem and computational capabilities of neural networks;Gorban';Siberian J. of Numer. Mathematics,1998

2. Nelles, O. (2001). Nonlinear System Identification. From Classical Approaches to Neural Networks and Fuzzy Models. Springer, 785. doi: https://doi.org/10.1007/978-3-662-04323-3

3. Diniz, P. S. R. (2008). Adaptive Filtering: Algorithms and Practical Implementation. Springer. doi: https://doi.org/10.1007/978-0-387-68606-6

4. Research of adaptive algorithms of laguerre model parametrical identification at approximation of ore breaking process dynamics;Mykhailenko;Metallurgical and Mining Industry,2015

5. Ore Crushing Process Dynamics Modeling using the Laguerre Model;Mykhailenko;Eastern-European Journal of Enterprise Technologies

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