Application of IPO: a heuristic neuro-fuzzy classifier
Sign Up to like & getrecommendations! Published in 2019 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00207-8
Abstract: Heuristic methods are used to design an adaptive-network-based fuzzy inference system (ANFIS) neuro-fuzzy classifier. The reason is that these classifiers include diverse structures, each of which has a considerable effect on their performance. So, the… read more here.
Keywords: fuzzy classifier; method; heuristic methods; application ipo ... See more keywords
Glowworm swarm based fuzzy classifier with dual features for speech emotion recognition
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DOI: 10.1007/s12065-019-00262-1
Abstract: Nowadays, a great attention is focusing on the study of the emotional content in speech signals since the speech signal is one of the quickest and natural tactic to communicate among humans, and thus, many… read more here.
Keywords: fuzzy classifier; emotion recognition; recognition; glowworm swarm ... See more keywords
An Intelligent Genetic Fuzzy Classifier for Transformer Faults
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DOI: 10.1080/03772063.2020.1732844
Abstract: Classification of faults in transformers with high accuracy is fundamental to ensuring good power quality with least interruptions. Our current work develops an intelligent genetic algorithm (GA)-t... read more here.
Keywords: classifier transformer; intelligent genetic; genetic fuzzy; transformer faults ... See more keywords
Marathi Speech Intelligibility Enhancement Using I-AMS Based Neuro-Fuzzy Classifier Approach for Hearing Aid Users
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DOI: 10.1109/access.2022.3223365
Abstract: Globally, 1.6 billion individuals suffered from hearing disability in 2019. According to the World Health Organization, by 2050, the number of people with hearing impairments will rise to 2.5 billion. Speech perception in noisy surroundings… read more here.
Keywords: speech; neuro fuzzy; hearing aid; aid users ... See more keywords
Noise-Robust Fuzzy Classifier Designed With the Aid of Type-2 Fuzzy Clustering and Enhanced Learning
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DOI: 10.1109/access.2023.3238798
Abstract: This paper introduces the design methodology of a noise-robust fuzzy classifier based on type-2 fuzzy clustering and enhanced learning methods. The design procedure for the noise-robust fuzzy classifier (NrFC) can be divided into two parts.… read more here.
Keywords: methodology; robust fuzzy; fuzzy; noise robust ... See more keywords
Imbalanced TSK Fuzzy Classifier by Cross-Class Bayesian Fuzzy Clustering and Imbalance Learning
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DOI: 10.1109/tsmc.2016.2598270
Abstract: In this paper, a novel construction algorithm called imbalanced Takagi–Sugeno–Kang fuzzy classifier (IB-TSK-FC) for the TSK fuzzy classifier is presented to improve the classification performance and rule-based interpretability for imbalanced datasets. IB-TSK-FC consists of two… read more here.
Keywords: fuzzy clustering; imbalance learning; fuzzy; bayesian fuzzy ... See more keywords