Fuzzy Neural Networks—A Review with Case Study
Source abstract
Abstract
This publication focuses on the use of fuzzy neural networks for data prediction. The author reviews papers in which fuzzy neural networks were used. The papers were selected mainly from 2020 to 2025 and were selected if fuzzy neural network were used for practical applications. Also, some chosen networks are described: FALCON, ANFIS, and a fuzzy network with Ordered Fuzzy Numbers. The networks with the implementation code presented in other publications were tested and compared to K Neighbors Classifier, Decision Tree Classifier, and Random Forest Classifier. The methodology and configuration of the networks are provided. Finally, the conclusions discuss limitations, future research prospects, and guidelines for future work.
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Research context
OpenAlex topics: Fuzzy Logic and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland
References (81)
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