Barbara Pizzileo

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This paper analyzes parameter tuning and quantitative validation of a discreteevent model for egress dynamics from buildings, suitable for designing and testing evacuation control algorithms. Firstly, a simulation model within the MATLAB/Simulink environment is implemented, by means of SimEvents toolbox. The proposed modeling approach is based on queuing(More)
This paper investigates the selection of fuzzy rules for fuzzy neural networks. The main objective is to effectively and efficiently select the rules and to optimize the associated parameters simultaneously. This is achieved by the proposal of a fast forward rule selection algorithm (FRSA), where the rules are selected one by one and a residual matrix is(More)
The identification of nonlinear dynamic systems using fuzzy neural networks is studied. A fast recursive algorithm (FRA) is proposed to select both the fuzzy regressor terms and associated parameters. In comparison with the popular orthogonal least squares (OLS) method, FRA can achieve the fuzzy neural modelling with high accuracy and less computational(More)
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