Sirvi Autor "Soni, Ayushmat Bhardwaj" järgi

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Reviewing the Classification Performance of Recent Neuro-fuzzy Systems
(Tartu Ülikool, 2024) Soni, Ayushmat Bhardwaj; Tomasiello, Stefania, juhendaja; Uzair, Muhammad , juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
This thesis explores the classification performance of recent neuro-fuzzy systems, which combine fuzzy logic with neural networks to enhance machine learning applications. Through a meta-analysis of literature from the past decades, the study evaluates various neuro-fuzzy architectures including the classical Adaptive Neuro-Fuzzy Inference System (ANFIS) and their performance in different domains. Comparative analyses with different approaches highlight neuro-fuzzy systems' strengths in handling imprecise and noisy data and their dependency on fuzzy set design and neural architecture. The goal of this work is to offer practical insights for both practitioners and scholars on the selection and management of appropriate methods for classification tasks across various application domains such as medicine and finance. This is achieved through a detailed analysis of diverse approaches, addressing a gap in recent comprehensive reviews of these methods.