Keywords
modeling, artificial neural networks, Optimal brain damage, Optimal brain surgeon, pruning methods, dynamic system
How to Cite
Cigánek, J., & Žemla, F. (2023). Modeling of Nonlinear Dynamic Systems Using Soft Computing Methods. Information Technology Applications, 9(1), 77–88. Retrieved from https://www.itajournal.com/index.php/ita/article/view/47
Abstract
The presented paper deals with the modeling principles of nonlinear dynamic systems and with the design of optimal model structures created by artificial neural networks and fuzzy theory. Four models were created for modeling of selected system: a neural network model, an adaptive neuro-fuzzy model and two neural networks with optimal structure obtained using Optimal Brain Damage and Optimal Brain Surgeon algorithms. The quality of proposed solutions were compared and verified on a real system of steam turbine in thermal power plant and in nuclear power plant.
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