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Relevant bibliographies by topics / Self-Organising maps (SOMs)

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Academic literature on the topic 'Self-Organising maps (SOMs)'

Author: Grafiati

Published: 21 September 2021

Last updated: 1 February 2022

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Journal articles on the topic "Self-Organising maps (SOMs)"

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García Estévez, Pablo, and Antonio Carballo. "Qualitative judgement in public credit ratings: A proposed supporting approach using Self-Organising Maps (SOMs)." Cuadernos de Economía 38, no. 108 (2015): 181–90. http://dx.doi.org/10.1016/j.cesjef.2015.07.003.

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Hudson, Irene L., Marie R. Keatley, and Shalem Y. Lee. "Using Self-Organising Maps (SOMs) to assess synchronies: an application to historical eucalypt flowering records." International Journal of Biometeorology 55, no. 6 (2011): 879–904. http://dx.doi.org/10.1007/s00484-011-0427-4.

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Wright, Angus H., Hendrik Hildebrandt, Jan Luca van den Busch, et al. "KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps." Astronomy & Astrophysics 640 (August 2020): L14. http://dx.doi.org/10.1051/0004-6361/202038389.

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We present updated cosmological constraints for the KiDS+VIKING-450 cosmic shear data set (KV450) estimated through redshift distributions and photometric samples defined using self-organising maps (SOMs). Our fiducial analysis finds marginal posterior constraints of S8 ≡ σ8 Ωm/0.3 = 0.716−0.038+0.043, which are smaller but otherwise consistent with previous works that have applied this data set (|ΔS8| = 0.023). We analysed additional samples and redshift distributions set up in three ways: (1) by excluding certain spectroscopic surveys during redshift calibration; (2) by excluding lower-confi

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Belatreche, Ammar, Liam Maguire, Martin McGinnity, Liam McDaid, and Arfan Ghani. "Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation." Advances in Artificial Intelligence 2010 (May 12, 2010): 1–21. http://dx.doi.org/10.1155/2010/405073.

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This paper investigates the computing capabilities and potential applications of neural oscillators, a biologically inspired neural model, to grey scale and colour image segmentation, an important task in image understanding and object recognition. A proposed neural system that exploits the synergy between neural oscillators and Kohonen self-organising maps (SOMs) is presented. It consists of a two-dimensional grid of neural oscillators which are locally connected through excitatory connections and globally connected to a common inhibitor. Each neuron is mapped to a pixel of the input image an

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Suna, Teemu, Michael Hardey, Jouni Huhtinen, et al. "Self-Organising Map Approach to Individual Profiles: Age, Sex and Culture in Internet Dating." Sociological Research Online 11, no. 1 (2006): 114–29. http://dx.doi.org/10.5153/sro.1253.

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A marked feature of recent developments in the networked society has been the growth in the number of people making use of Internet dating services. These services involve the accumulation of large amounts of personal information which individuals utilise to find others and potentially arrange offline meetings. The consequent data represent a challenge to conventional analysis, for example, the service that provided the data used in this paper had approximately 5,000 users all of whom completed an extensive questionnaire resulting in some 300 parameters. This creates an opportunity to apply in

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Sarvestan, Javad, Zdeněk Svoboda, Fatemeh Alaei, and Franky Mulloy. "Analysis of Whole-Body Coordination Patterning in Successful and Faulty Spikes Using Self-Organising Map-Based Cluster Analysis: A Secondary Analysis." Sensors 21, no. 4 (2021): 1345. http://dx.doi.org/10.3390/s21041345.

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This study investigated the whole-body coordination patterning in successful and faulty spikes using self-organising map-based cluster analysis. Ten young, elite volleyball players (aged 15.5 ± 0.7 years) performed 60 volleyball spikes in a real-game environment. Adopting the cluster analysis, based on a self-organising map, whole-body coordination patterning was explored between successful and faulty spikes of individual players. The self-organising maps (SOMs) portrayed whole body, lower and upper limb coordination dissimilarities during the jump phase and the ball impact phases between the

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Cuss, Chad W., Mark W. Donner, Tommy Noernberg, Rick Pelletier, and William Shotyk. "EEM-PARAFAC-SOM for assessing variation in the quality of dissolved organic matter: simultaneous detection of differences by source and season." Environmental Chemistry 16, no. 5 (2019): 360. http://dx.doi.org/10.1071/en19016.

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Environmental contextDissolved organic matter (DOM) is a highly diverse mixture of interacting compounds, which plays a key role in environmental processes in aquatic systems. The quality and functionality of DOM are measured using fluorescence spectroscopy, but established data analysis assumes linear behaviour, limiting the effectiveness of characterisation. We apply self-organising maps to fluorescence composition to improve the assessment of DOM quality and behaviour by visualising the interdependent nature of its components. AbstractSelf-organising maps (SOMs) were used to sort the excita

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Brboric, Maja, Borivoj Stepanov, Jelena Radonic, and Maja Turk-Sekulic. "Danube sediment contamination with polychlorinated biphenyls: New interpretation of sediment quality assessment." Acta Periodica Technologica, no. 50 (2019): 43–50. http://dx.doi.org/10.2298/apt1950043b.

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Among the contaminants of greatest concern, it is still possible to detect in aquatic systems "old" classics such as polychlorinated biphenyls (PCBs). Since PCBs are detected in all environmental matrices and have been identified as harmful substances due to their toxicity, persistence, and bioaccumulation in humans and wildlife, they are still one of the important groups of POPs. For this reason, this original approach studies the toxicological influence of PCBs, quantified in sediment samples collected at ten sites along the river Danube, by an application of advanced classification and clus

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Hiedanpää, Juha, Joni Saijets, Pekka Jounela, Mikko Jokinen, and Simo Sarkki. "Beliefs in Conflict: The Management of Teno Atlantic Salmon in the Sámi Homeland in Finland." Environmental Management 66, no. 6 (2020): 1039–58. http://dx.doi.org/10.1007/s00267-020-01374-6.

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AbstractThe subarctic Teno River is one of the most significant spawning rivers for Atlantic salmon in Europe. In 2009, research indicated that the Teno salmon stock was in a weak state, and concern about the future of Atlantic salmon in the Teno River arose on both sides of the river, in Finland and Norway. In 2017, the governments ratified the new Teno fishing agreement (Teno Fishing Act 2017). The agreement aimed to reduce the fishing volume by 30%, and the new regulations concerned all users, including the indigenous Sámi, other locals, tourists, and fishing entrepreneurs. This triggered c

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Kühn, B., MH Taylor, and A. Kempf. "Using machine learning to link spatiotemporal information to biological processes in the ocean: a case study for North Sea cod recruitment." Marine Ecology Progress Series 664 (April 15, 2021): 1–22. http://dx.doi.org/10.3354/meps13689.

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Marine organisms are subject to environmental variability on various temporal and spatial scales, which affect processes related to growth and mortality of different life stages. Marine scientists are often faced with the challenge of identifying environmental variables that best explain these processes, which, given the complexity of the interactions, can be like searching for a needle in the proverbial haystack. Even after initial hypothesis-based variable selection, a large number of potential candidate variables can remain if different lagged and seasonal influences are considered. To tack

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