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Environmental Modelling and Software, ISSN 1364-8152, 2009, Volume 24, Issue 8, pp. 945 - 947
We provide some additional input and perspectives on Kalteh et al's review of the Self-Organizing Map (SOM) approach (Environ. Model. Softw. (2008), 23,... 
Self-Organizing Maps | Freshwater ecology | Neural networks | Environmental management | Water resource research | QUALITY | PATTERNS | ARTIFICIAL NEURAL-NETWORK | COMMUNITIES | FRANCE | ENVIRONMENTAL SCIENCES | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ENGINEERING, ENVIRONMENTAL
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 2011, Volume 38, Issue 8, pp. 10574 - 10578
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 09/2018, Volume 2014, Issue 1
Since the discovery of DNA structure in the form of the double helix, there is a development of the complex interaction required, DNA clustering into clusters... 
Collapsing | Epidemics | Euclidean geometry | Viral diseases | Viruses | Clustering | Source programs | Gene sequencing | Algorithms | Self organizing maps | Partitioning | Mathematical analysis | Machine learning | Deoxyribonucleic acid--DNA
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 2011, Volume 11, Issue 4, pp. 3771 - 3778
The self-organizing map (SOM) neural network, also called Kohonen neural network, is an effective tool for analysis of multidimensional data. This network can... 
Second winner | Self-organizing map (SOM) | Data clustering | Batch learning | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 10/2018, Volume 2023, Issue 1
The Microarrays technology is growing rapidly in bioinformatics. Microarray is a tool for measuring thousands gene expressions level of a sample. Microarray... 
SOM | microarray | carcinoma | spectral clustering | Algorithms | Data management | Self organizing maps | Neural networks | Genes | Artificial neural networks | Spectra | Gene expression | Clustering | Bioinformatics | Cancer
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 07/2017, Volume 1862, Issue 1
One of the most widely used clustering method, since it has advantage on its robustness, is Self-Organizing Maps (SOM) method. This paper discusses the... 
Human papillomavirus | Self organizing maps | Viruses | Clustering | Deoxyribonucleic acid--DNA | Cervical cancer | Developing countries--LDCs | Cancer
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 06/2006, Volume 44, Issue 6, pp. 1642 - 1654
Journal Article
Journal of Thermal Analysis and Calorimetry, ISSN 1388-6150, 12/2018, Volume 134, Issue 3, pp. 2275 - 2286
Journal Article
Molecular Informatics, ISSN 1868-1743, 04/2016, Volume 35, Issue 3‐4, pp. 109 - 115
Journal Article
Catena, ISSN 0341-8162, 01/2019, Volume 172, pp. 699 - 710
Three different empirical models based on Landsat, MERIS, and MODIS sensors were used to retrieve TSM concentrations and construct long-term TSM image datasets... 
MERIS | Spatial distribution patterns | Self-organizing map | MODIS | Landsat | TSM | RETRIEVAL MODELS | CHINA | ALGORITHM | WATER RESOURCES | RIVER ESTUARY | REFLECTANCE | SOIL SCIENCE | GEOSCIENCES, MULTIDISCIPLINARY | DONGTING LAKE | PRODUCT | IN-SITU | ZHUJIANG | Earth resources technology satellites | Algorithms | Sensors | Precipitation (Meteorology) | Analysis | Remote sensing
Journal Article
Heat and Mass Transfer, ISSN 0947-7411, 8/2019, Volume 55, Issue 8, pp. 2261 - 2276
The purpose of this study was to investigate the efficiency of using magnesium oxide nanoparticles, twisted tapes with different and modified twist ratios, and... 
Engineering | Thermodynamics | Industrial Chemistry/Chemical Engineering | Engineering Thermodynamics, Heat and Mass Transfer | MECHANICS | TUBE | THERMODYNAMICS | TWISTED TAPE | FLUID | PERFORMANCE | OPTIMIZATION | FRICTION FACTOR | EFFICIENCY | FLOW
Journal Article
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering, ISSN 1302-3160, 03/2018, Volume 19, Issue 1, pp. 144 - 152
The performance of resultant topological structure of Kohonen Self Organizing Map SOM is highly dependent of the learning rate and neighborhood parameters. In... 
Kohonen | Self Organizing Map | Learning Rate
Journal Article