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Rough subspace neuro-fuzzy system
Fuzzy Sets and Systems, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Financial Prediction with Neuro-fuzzy Systems
2008An application of neuro-fuzzy systems to supporting trading decisions is presented. The system has the ability to use expert knowledge and to be fitted to the learning data by various machine learning techniques. The proposed approach uses the backpropagation algorithm to determine system parameters on the basis of several indices.
Agata Pokropinska, Rafal Scherer
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Neuro-fuzzy Systems with Relation Matrix
2010Neuro-fuzzy systems are eagerly used for classification and machine learning problems. Researchers find them easy to use because the knowledge is stored in the form of the fuzzy rules. The rules are relatively easy to create and interpret for humans, unlike in the case of other learning paradigms e.g. neural networks. The most commonly used neuro-fuzzy
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FuBiNFS – fuzzy biclustering neuro-fuzzy system
Fuzzy Sets and Systems, 2022Krzysztof Siminski
exaly
Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification
IEEE Transactions on Cybernetics, 2020Shuang Feng, C L Philip Chen
exaly
3WDNFS – Three-way decision neuro-fuzzy system for classification
Fuzzy Sets and Systems, 2023Krzysztof Siminski
exaly
Neuro-fuzzy methods for nonlinear system identification
Annual Reviews in Control, 2003Robert Babuska
exaly