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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)
This paper analyzes parameter tuning and quantitative validation of a discrete-event 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)
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