Results 31 to 40 of about 1,671,237 (334)
Geomatics, Natural Hazards & Risk, 2023 In this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating Decision Tree ...
Romulus Costache +8 more
doaj +1 more source
Fuzzy relational classifier trained by fuzzy clustering
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999 A novel approach to nonlinear classification is presented, in the training phase of the classifier, the training data is first clustered in an unsupervised way by fuzzy c-means or a similar algorithm. The class labels are not used in this step. Then, a fuzzy relation between the clusters and the class identifiers is computed.
Setnes, M. (author) +1 more
openaire +4 more sources
Axioms, 2019 The use of artificial intelligence techniques such as fuzzy logic, neural networks and evolutionary computation is currently very important in medicine to be able to provide an effective and timely diagnosis. The use of fuzzy logic allows to design fuzzy
Juan Carlos Guzmán +3 more
doaj +1 more source
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies [PDF]
Biomedical Signal Processing and Control, 2021 Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients.
A. Shoeibi +9 more
semanticscholar +1 more source
k-NN intuitionistic fuzzy classifier [PDF]
Notes on IFSThe k-NN (k-Nearest Neighbor) classifier is one of the commonly used classifiers. We present a modification of this classifier based on Atanassov's intuitionistic fuzzy sets (IFSs, for short).
Eulalia Szmidt +2 more
doaj +1 more source
Development of fuzzy classifier for technical condition ranking of power transformer
Electrical engineering & Electromechanics, 2023 The work aim is to develop a fuzzy classifier for technical condition ranking of power transformer under condition of vagueness and ambiguity diagnostic information. Methodology.
E. I. Bardyk, N. P. Bolotnyi
doaj +1 more source
, 2010 When individual classifiers are combined appropriately, a statistically significant increase in classification accuracy is usually obtained. Multiple classifier systems are the result of combining several individual classifiers.
Bonissone, Piero +3 more
core +1 more source
An Expert System for Automatic Classification of Sound Signals
Journal of Telecommunications and Information Technology, 2020 In this paper, we present the results of research focusing on methods for recognition/classification of audio signals. We consider the results of the research project to serve as a basis for the main module of a hybrid expert system currently under ...
Krzysztof Tyburek, Piotr Kotlarz
doaj +1 more source
IEEE Access, 2020 The analysis of EEG signal is a relevant problem in health informatics, and its development can help in detection of epileptic's seizures. The diagnosis is based on classification of EEG signal.
Jan Rabcan +3 more
doaj +1 more source
Ensembles of Fuzzy Classifiers [PDF]
2007 IEEE International Fuzzy Systems Conference, 2007 The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (adaptive neuro-fuzzy inference systems). We compare results from bagging to those of a single classifier using both crisp and fuzzy classifier combination methods.
Juana Canul-Reich +2 more
openaire +1 more source