2024
DOI: 10.21203/rs.3.rs-4729499/v1
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Evolving Neuro-Fuzzy Systems for Real-Time Data Processing in Internet of Medical Things

Clement Nyirenda,
Richard Chilipa

Abstract: Evolving neuro-fuzzy systems (ENFS) have shown great promise in analysis of streaming data, integrating artificial neural networks and fuzzy logic to create self-learning, data-driven models suitable for online (real-time) applications. In healthcare, ENFS have the potential to transform the Internet of Medical Things (IoMT) by enabling real-time data processing, decision support, and timely emergency response. In this study six evolving fuzzy min-max neural network models have been implemented using Python an… Show more

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