Výsledky vyhľadávania - fuzzy supervised learning algorithm

Attention-based fuzzy neural networks for self-supervised data annotation

Autori: Islam, Md Rakibul Begum, Shahina Ahmed, Mobyen Uddin, Dr a ďalší

Zdroj: Intelligent Systems with Applications. 28

Predmety: Attention mechanism, Data annotation, Fuzzy neural network, Industry 4.0, Self supervised learning, Data mining, Fuzzy inference, Information fusion, Labeled data, Learning systems, Membership functions, Self-supervised learning, Supervised learning, Attention mechanisms, Domain knowledge, Fuzzy-neural-networks, Heavy duty pumps, Historical data, Pump vibrations, Slurry pumps, Vibration data, Vibration signal, Fuzzy neural networks

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-74558
https://doi.org/10.1016/j.iswa.2025.200610

Combining Supervised and Unsupervised Fuzzy Learning Algorithms for Robust Diabetes Diagnosis

Autori: Kwang Baek Kim Hyun Jun Park Doo Heon Song

Zdroj: Applied Sciences, Vol 13, Iss 1, p 351 (2022)

Predmety: fuzzy max–min neural network, fuzzy c-means, diabetes, supervised learning, unsupervised learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/1/351; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/6f631e3038fb4b22b895498053615564

New Challenges in Learning Classifier Systems: Mining Rarities and Evolving Fuzzy Models

Autori: Orriols Puig, Albert

Prispievatelia: University/Department: Universitat Ramon Llull. EALS - Informàtica

Thesis Advisors: Bernardó Mansilla, Ester

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: fuzzy models, the class imbalance problem, machine learning, modelos difusos, genetic algorithms, learning classifier systems, problema del desbalanceo de clases, algoritmos genéticos, sistemas clasificadores, aprendizaje automático, problema del desbalanceig de classes, models difusos, aprenentatge automàtic, sistemes classificadors, algorismes genètics, Les Tecnologies de la informació i les comunicacions i la seva gestió

Popis súboru: application/pdf

Prístupová URL adresa: http://www.tdx.cat/TDX-1229108-105809
http://hdl.handle.net/10803/9159

Towards generalisable fault detection in smart buildings: hybrid modelling, calibration, and transfer learning strategies

Autori: Martínez Viol, Víctor

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica

Thesis Advisors: Romeral Martínez, José Luis, Delgado Prieto, Miquel

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Eficiència Energètica en Edificis, Sistemes de Climatització (HVAC), Detecció i Diagnòstic de Fallades (FDD), Calibració Automàtica, Modelatge Híbrid, Aprenentatge per Transferència, Sistemas de Climatización (HVAC), Detección y Diagnóstico de Fallos (FDD), Calibración Automática, Modelización Híbrida, Aprendizaje por Transferencia, HVAC Systems, Fault Detection and Diagnosis (FDD), Automatic Calibration, Hybrid Modelling, Transfer Learning, Building Energy Efficiency, Eficiencia Energética en Edificios, Àrees temàtiques de la UPC::Enginyeria electrònica, Àrees temàtiques de la UPC::Edificació, Àrees temàtiques de la UPC::Energies, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions, 69 - Materials de construcció. Pràctiques i procediments de construcció, 620 - Assaig de materials. Material comercials. Economia de l'energia

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/695119
https://dx.doi.org/10.5821/dissertation-2117-440544

A Hybrid Recommendation System based on Fuzzy C-Means Clustering and Supervised Learning.

Autori: Li Duan Weiping Wang Baijing Han

Zdroj: KSII Transactions on Internet & Information Systems. Jul2021, Vol. 15 Issue 7, p2439-2413. 27p.

Predmety: Recommender systems, Supervised learning, Hybrid systems, Information filtering systems, Fuzzy systems, Machine learning

Self-supervised learning method for unstructured road detection using Fuzzy Support Vector Machines

Autori: Zhou, Shengyan Iagnemma, Karl

Zdroj: IROS 2010 IEEE International Conference on Intelligent Robots and Systems. Proceedings. :1183-1189

Predmety: fuzzy set theory, geometry, learning (artificial intelligence), mobile robots, object detection, probability, robot vision, support vector machines, autonomous vehicle, front-view monocular camera, fuzzy support vector machines, on-road mobile robot, online learning method, road probabilistic distribution model, self-supervised learning method, unstructured road detection algorithm

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-20822

FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification

Autori: Kowsari, Kamran Bari, Nima Vichr, Roman a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Applications, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1709.09268

Towards Code Smell Detection: A Multiphase Methodology Using Fuzzy Logic-based Feature Selection

Autori: Monteiro, Bruno Miguel Gonçalves Pombo, Nuno Gonçalo Coelho Costa uBibliorum

Prispievatelia: Monteiro, Bruno Miguel Gonçalves Pombo, Nuno Gonçalo Coelho Costa uBibliorum

Zdroj: urn:tid:204026741

Predmety: Qualidade de Software, Code Smells, Engenharia de Software, Modified Fuzzy c-Means Algorithm with Supervision, Seleção de Caraterísticas

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10400.6/19032

A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis.

Autori: Song, Xiaoning Liu, Zi Yang, Xibei a ďalší

Zdroj: Computers & Mathematics with Applications. Dec2013, Vol. 66 Issue 10, p1782-1794. 13p.

Predmety: *FUZZY systems, *SUPERVISED learning, *DYNAMICAL systems, *NONLINEAR analysis, *PARAMETER estimation, *DISCRIMINANT analysis, *ALGORITHMS

An Improved Fuzzy Neural Network for Solving Uncertainty in Pattern Classification and Identification

Autori: M. Hariri S. B. Shokouhi N. Mozayani

Zdroj: Iranian Journal of Electrical and Electronic Engineering, Vol 4, Iss 3, Pp 71-78 (2008)

Predmety: Classification, Fingerprint, Fuzzy Neural Network, Fuzzy Neurons, Identification, Supervised Learning Algorithm., Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3-62&slc_lang=en&sid=1; https://doaj.org/toc/1735-2827; https://doaj.org/toc/2383-3890

Prístupová URL adresa: https://doaj.org/article/c5bd6dc3c06f4d35ae67f7b71bae996f

A neural fuzzy network for word information processing

Autori: Fun-Bin Duh Der-Jenq Liu Chin-Teng Lin

Zdroj: Fuzzy Sets and Systems. 127:37-48

Predmety: Computing methodologies and applications, neural fuzzy system learning, Learning and adaptive systems in artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, fuzzy supervised learning algorithm, 02 engineering and technology

Popis súboru: application/xml

Prístupová URL adresa: https://ir.nctu.edu.tw:443/handle/11536/28921
https://dblp.uni-trier.de/db/journals/fss/fss127.html#LinDL02
https://www.sciencedirect.com/science/article/pii/S0165011401001518
https://ir.nctu.edu.tw:443/bitstream/11536/28921/1/000174539100004.pdf
https://doi.org/10.1016/S0165-0114(01)00151-8

FSS: Fuzzy Supervised Learning for Optimal Path Selection in RPL

Autori: Gopika, D. Rukmani, P.

Zdroj: Journal of Physics: Conference Series ; volume 1911, issue 1, page 012016 ; ISSN 1742-6588 1742-6596

Dostupnosť: https://doi.org/10.1088/1742-6596/1911/1/012016
https://iopscience.iop.org/article/10.1088/1742-6596/1911/1/012016
https://iopscience.iop.org/article/10.1088/1742-6596/1911/1/012016/pdf

Partially Supervised Learning : First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers

Autori: Friedhelm Schwenker Edmondo Trentin

Typ zdroja: eBook.

Predmet: Artificial intelligence, Pattern recognition systems, Computer vision, Application software, Bioinformatics, Algorithms

Kategórie: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Programming / Algorithms, SCIENCE / Life Sciences / Biology, SCIENCE / Research & Methodology

A Novel Supervised Learning Model for MRI Image Using Fuzzy Clustering and Naïve Bayes Algorithms

Autori: Tran, Thu Anh Nguyen Nguyen, An Thien Ngoc PhamToan, Dinh a ďalší

Prispievatelia: Tran, Thu Anh Nguyen Nguyen, An Thien Ngoc PhamToan, Dinh a ďalší

Zdroj: Model Assisted Statistics and Applications ; volume 20, issue 3, page 173-186 ; ISSN 1574-1699 1875-9068

Dostupnosť: https://doi.org/10.1177/15741699251334321
https://journals.sagepub.com/doi/pdf/10.1177/15741699251334321
https://journals.sagepub.com/doi/full-xml/10.1177/15741699251334321

Text Classification of Translated Qur'anic Verses Using Supervised Learning Algorithm

Autori: Ananda, Dhea Nurhidayarnis, Syahida Afifah, Tiara Afrah a ďalší

Zdroj: Public Research Journal of Engineering, Data Technology and Computer Science; Vol. 1 No. 2: PREDATECS January 2024; 78-84 ; 3024-8043 ; 3024-921X ; 10.57152/predatecs.v1i2

Predmety: Al-Quran, Classification, Fuzzy C-Means, Random Forest, Support Vector Machine (SVM)

Popis súboru: application/pdf

Relation: https://journal.irpi.or.id/index.php/predatecs/article/view/870/873; https://journal.irpi.or.id/index.php/predatecs/article/view/870

Dostupnosť: https://journal.irpi.or.id/index.php/predatecs/article/view/870
https://doi.org/10.57152/predatecs.v1i2.870

Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution

Autori: Gerdes, Mike Galar, Diego Kumar, Uday a ďalší

Prispievatelia: Gerdes, Mike Galar, Diego Kumar, Uday a ďalší

Zdroj: Doctoral thesis / Luleå University of Technology 1 jan 1997 → ….

Predmety: Condition Monitoring, Remaining Useful Life Prediction, Decision Tree, Genetic Algorithm, Fuzzy Decision Tree Evaluation, System Monitoring, Aircraft Health Monitoring, Feature Extraction, Feature Selection, Data Driven, Health Prognostic, Knowledge Based System, Supervised Learning, Data-Driven Predictive Health Monitoring, Health Indicators, Machine Learning, Big Data, Pattern Recognition, Drift och underhållsteknik, Operation and Maintenance

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76703
https://ltu.diva-portal.org/smash/get/diva2:1370135/FULLTEXT02.pdf

An automatic inversion tool for geoelectrical resistivity data using supervised learning algorithm of adaptive neuro fuzzy inference system (ANFIS)

Autori: Stanley Raj, A. Oliver, D. Hudson Srinivas, Y.

Zdroj: Modeling Earth Systems and Environment ; volume 1, issue 1-2 ; ISSN 2363-6203 2363-6211

Dostupnosť: https://doi.org/10.1007/s40808-015-0006-5
http://link.springer.com/content/pdf/10.1007/s40808-015-0006-5.pdf
http://link.springer.com/article/10.1007/s40808-015-0006-5/fulltext.html
http://link.springer.com/content/pdf/10.1007/s40808-015-0006-5

A neural fuzzy system with fuzzy supervised learning

Autori: Ya-Ching Lu Chin-Teng Lin

Zdroj: IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). 26:744-763

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/18263073

Explaining smartphone-based acoustic data in bipolar disorder: Semi-supervised fuzzy clustering and relative linguistic summaries

Autori: Katarzyna Kaczmarek-Majer Gabriella Casalino Giovanna Castellano a ďalší

Prispievatelia: Katarzyna Kaczmarek-Majer Gabriella Casalino Giovanna Castellano a ďalší

Predmety: Acoustic marker, Adaptive and evolving algorithm, Bipolar disorder, Explainable Artificial Intelligence, Fuzzy linguistic description, Linguistic summarie, Semi-supervised fuzzy clustering, Smartphone monitoring

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000768300300010; volume:588; firstpage:174; lastpage:195; numberofpages:22; journal:INFORMATION SCIENCES; https://hdl.handle.net/11586/379307; https://www.sciencedirect.com/science/article/pii/S0020025521012706

Dostupnosť: https://hdl.handle.net/11586/379307
https://doi.org/10.1016/j.ins.2021.12.049
https://www.sciencedirect.com/science/article/pii/S0020025521012706

Improved Fuzzy Single Layer Supervised Learning Algorithm

Autori: Kim, Jong-chan Ban, Kyeong-jin Kim, Eung-kon a ďalší

Zdroj: 2011 Fifth FTRA International Conference on Multimedia and Ubiquitous Engineering ; page 44-47

Dostupnosť: https://doi.org/10.1109/mue.2011.19
http://xplorestaging.ieee.org/ielx5/5991611/5992167/05992169.pdf?arnumber=5992169