Suchergebnisse - "self-organizing map algorithm"

Improved SOM algorithm for damage characterization based on visual sensing

Autoren: Hongtao Zhu Shuyun Guo

Quelle: Archives of Civil Engineering, Vol vol. 71, Iss No 2, Pp 129-142 (2025)

Schlagwörter: self-organizing map algorithm, TA1-2040, attention mechanism, Engineering (General). Civil engineering (General), computer vision, damage detection

Minority Resampling Boosted Unsupervised Learning With Hyperdimensional Computing for Threat Detection at the Edge of Internet of Things

Autoren: Vivek Christopher Tharmasanthiran Aathman Kayathiri Mahendrakumaran et al.

Quelle: IEEE Access, Vol 9, Pp 126646-126657 (2021)

Schlagwörter: hyperdimensional computing, growing self organizing map algorithm, cybersecurity, minority resampling unsupervised machine learning, 0202 electrical engineering, electronic engineering, information engineering, Edge computing, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, edge IoT, 7. Clean energy, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09530655.pdf
https://doaj.org/article/92dba4f3ffbc49debd5a6d65570f7657
https://dblp.uni-trier.de/db/journals/access/access9.html#ChristopherAMNS21

Comparison of Kohonen's Self-Organizing Map algorithm and principal component analysis in the exploratory data analysis of a groundwater quality dataset

Autoren: Peeters, Luk Dassargues, Alain Aquapôle - ULiège

Weitere Verfasser: Peeters, Luk Dassargues, Alain Aquapôle - ULiège

Quelle: GeoENV2006, 2006

Schlagwörter: groudwater quality, exploratory data analysis, principal component analysis, Self-Organizing Map algorithm, Kohonen's Self-Organizing Map, SOMs, Engineering, computing & technology, Geological, petroleum & mining engineering, Ingénierie, informatique & technologie, Géologie, ingénierie du pétrole & des mines

Zugangs-URL: https://orbi.uliege.be/handle/2268/3388

High genetic differentiation of grapevine rootstock varieties determined by molecular markers and artificial neural networks

Autoren: Costa, Marcia Oliveira Capel, Livia Santos Maldonado, Carlos et al.

Quelle: Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e43475 ; Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e43475 ; 1807-8621 ; 1679-9275

Schlagwörter: clustering methods, RAPD-SSR loci, self-organizing map algorithm, Genética Molecular

Dateibeschreibung: application/pdf

Relation: http://eduemojs.uem.br/ojs/index.php/ActaSciAgron/article/view/43475/751375148414; http://eduemojs.uem.br/ojs/index.php/ActaSciAgron/article/view/43475

Verfügbarkeit: http://eduemojs.uem.br/ojs/index.php/ActaSciAgron/article/view/43475
https://doi.org/10.4025/actasciagron.v42i1.43475

Blind Source Separation and Equiprobabilistic Topographic Maps: Blind source separation and equiprobabilistic topographic maps

Autoren: Marc M. Van Hulle

Quelle: Journal of VLSI signal processing systems for signal, image and video technology. 31:19-30

Schlagwörter: Signal theory (characterization, reconstruction, filtering, etc.), super-Gaussian BSS, self-organizing map algorithm, Learning and adaptive systems in artificial intelligence, blind source separation algorithms, equiprobabilistic maps, kernel-based maximal entropy rule, density-based clustering, topographic maps, speech signals

Dateibeschreibung: application/xml

Smoothly distributed fuzzy c-means: a new self-organizing map: Smoothly distributed fuzzy \(c\)-means: A new self-organizing map

Autoren: Alberto Pascual-Montano K. Kochi Roberto D. Pascual-Marqui et al.

Quelle: Pattern Recognition. 34:2395-2402

Schlagwörter: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, self-organizing map algorithm, Pattern recognition, speech recognition

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/1691040
https://doi.org/10.1016/s0031-3203(00)00167-9
https://dblp.uni-trier.de/db/journals/pr/pr34.html#Pascual-MarquiPKC01
http://www.sciencedirect.com/science/article/pii/S0031320300001679
https://www.sciencedirect.com/science/article/pii/S0031320300001679

New Learning Strategy for Prototypes in Linear Vector Quantization Network

Autoren: Puscasu, Gheorghe Stancu, Alexandru Codres, Bogdan et al.

Quelle: Puscasu, G, Stancu, A, Codres, B, Codres, E & Ceanga, E 2015, 'New Learning Strategy for Prototypes in Linear Vector Quantization Network', International Journal of Neural Systems.

Schlagwörter: learning, Self-Organizing Map algorithm, pattern recognition, LVQ algorithms, LVQ algorithms, pattern recognition, learning, Self-Organizing Map algorithm

Zugangs-URL: https://research.manchester.ac.uk/en/publications/ad22bd63-846a-4ffd-8450-0a4f1c7239b3

The self-organizing map

Autoren: Teuvo Kohonen

Quelle: Proceedings of the IEEE. 78:1464-1480

Schlagwörter: Theory of software, 0209 industrial biotechnology, self-organizing map algorithm, Learning and adaptive systems in artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/1236809
https://doi.org/10.1016/s0925-2312(98)00030-7
https://ieeexplore.ieee.org/document/58325/
http://ieeexplore.ieee.org/iel1/5/2115/00058325.pdf
https://ci.nii.ac.jp/naid/20000921245
https://ieeexplore.ieee.org/abstract/document/58325

VNMF: Distributed fault detection using clustering approach for network function virtualization

Autoren: Miyazawa, M. Hayashi, M. Stadler, Rolf

Quelle: Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management, IM 2015. :640-645

Schlagwörter: Fault detection, in-network management, network function virtualization self-organizing map, Complex networks, Conformal mapping, Distributed computer systems, Network layers, Network management, Self organizing maps, Transfer functions, Virtual reality, Distributed fault detections, Distributed management, Management functions, Operational complexity, Self Organizing Map algorithm, Virtualizations, Virtualized services

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181514