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Mar 27, 2022 · Neuro-fuzzy systems are hybrid models combining the benefits of both Neural Networks (NNs) and Fuzzy Inference Systems (FISs). Indeed, FISs are ...
Nov 21, 2024 · Particularly, students' outcomes have been predicted through Neuro-Fuzzy Systems (NFSs), and explanations are given in form of “IF-THEN” rules.
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Neuro-Fuzzy Systems for Learning Analytics · List of references · Publications that cite this publication.
In this work, we propose the use of hybrid models which are able to return accurate predictions together with explanations on the processes leading to the ...
Neuro-fuzzy models as we understand them are fuzzy systems that use local learning strategies to learn fuzzy sets and fuzzy rules. Neuro-fuzzy techniques ...
Fundamentally, a neuro-fuzzy system is a fuzzy network that not only includes a fuzzy inference system but can also overcome some limitations of neural networks ...
May 21, 2023 · The findings from this research study will improve the accuracy of construction scheduling, resulting in improved project performance and reduced costs.
Jul 15, 2024 · Evolving neuro-fuzzy systems (ENFS) have shown great promise in analysis of streaming data, integrating artificial neural networks and fuzzy logic.
The goal of this research is the analysis of learning models by using of arithmetic operations applied in a neuro-fuzzy system (NFS).
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Neuro-fuzzy is a term used to describe a type of artificial intelligence that combines elements of both neural networks and fuzzy logic.
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