Browsing by Subject "fuzzy systems"
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Item type:Article, Access status: Open Access , Computational intelligence methods in the problem of modelling technical wear of buildings in mining areas(2012) Rusek, JanuszIn the work presented approach with a view to building the model of degree of technical wear of buildings in the mining areas, as well as an indication that the contribution of the consumption on technical factors interact mining and civil construction origin. Set out criteria for the selection and research methodology effects are synthetically summarised existing work in this field. Justified choice of the epsilon-SVR method confronting its advantages to the characteristics of typical neural network.Item type:Article, Access status: Open Access , Hybrid neuro-fuzzy classifier based on NEFCLASS model(Wydawnictwa AGH, 2011) Gliwa, Bogdan; Byrski, AleksanderThe paper presents hybrid neuro-fuzzy classifier, based on NEFCLASS model, which was modified. The presented classifier was compared to popular classifiers - neural networks and k-nearest neighbours. Efficiency of modifications in classifier was compared with methods used in original model NEFCLASS (learning methods). Accuracy of classifier was tested using 3 datasets from UCI Machine Learning Repository: iris, wine and breast cancer wis-consin. Moreover, influence of ensemble classification methods on classification accuracy was presented.
