Results 21 to 30 of about 1,671,237 (334)

Fuzzy logic based intention recognition in STS processes [PDF]

open access: yes, 2017
This paper represents a fuzzy logic based classifier that is able to recognise human users' intention of standing up from their behaviours in terms of the force they apply to the ground.
Li, Dayou, Lu, Hang, Qiu, Renxi
core   +2 more sources

An Overview of Classifier Fusion Methods [PDF]

open access: yes, 2000
A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the classification performance.
Gabrys, Bogdan, Ruta, Dymitr
core   +2 more sources

Bagged ensemble of fuzzy classifiers and feature selection for handwritten signature verification [PDF]

open access: yesКомпьютерная оптика, 2019
Handwritten signature verification is an important research area in the field of person authentication and biometric identification. There are two known methods for handwriting signature verification: if it is possible to digitize the speed of pen ...
Konstantin Sarin, Ilya Hodashinsky
doaj   +1 more source

Combining Neuro-Fuzzy Classifiers for Improved Generalisation and Reliability [PDF]

open access: yes, 2002
In this paper a combination of neuro-fuzzy classifiers for improved classification performance and reliability is considered. A general fuzzy min-max (GFMM) classifier with agglomerative learning algorithm is used as a main building block.
Gabrys, Bogdan
core   +1 more source

Self-organising fuzzy logic classifier [PDF]

open access: yesInformation Sciences, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gu, Xiaowei, Angelov, Plamen Parvanov
openaire   +2 more sources

Automatic generation of fuzzy classification rules using granulation-based adaptive clustering [PDF]

open access: yes, 2015
A central problem of fuzzy modelling is the generation of fuzzy rules that fit the data to the highest possible extent. In this study, we present a method for automatic generation of fuzzy rules from data. The main advantage of the proposed method is its
Abbod, MF, Al-Shammaa, M
core   +1 more source

Neuro-fuzzy classifiers

open access: yesМОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, 2021
В статье рассматривается проблема повышения точности искусственных нейронных сетей при решении задач классификации состояний объектов различной физической природы. Эту проблему предлагается сформулировать как проблему выбора типа функции активации в искусственных нейронных сетях и рассматривать ее с позиции теории нечетких множеств.
openaire   +1 more source

Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation

open access: yesEnergies, 2020
Infrared Thermography has been used as a tool for predictive and preventive maintenance of Photovoltaic panels. International Electrotechnical Commission provides some guidelines for using thermography to detect defects in Photovoltaic panels.
Gomathy Balasubramani   +5 more
doaj   +1 more source

Fusing MPEG-7 visual descriptors for image classification [PDF]

open access: yes, 2005
This paper proposes three content-based image classification techniques based on fusing various low-level MPEG-7 visual descriptors. Fusion is necessary as descriptors would be otherwise incompatible and inappropriate to directly include e.g.
Avrithis, Yannis   +5 more
core   +1 more source

Fuzzy Granular Hyperplane Classifiers [PDF]

open access: yesIEEE Access, 2020
Granular computing has advantage of knowledge discovery for complex data. In the paper, we present Fuzzy Granular Hyperplane Classifiers (FGHCs) for data classification from a new angle of Granular Computing. First, we introduce a fuzzy granular hyperplane concept by defining fuzzy granule, fuzzy granular vector, metrics and operators. Next, for binary
Wei Li   +4 more
openaire   +2 more sources

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