Results 11 to 20 of about 261,223 (281)
Wave extreme characterization using self-organizing maps [PDF]
Ocean Science, 2016 The self-organizing map (SOM) technique is considered and extended to assess the extremes of a multivariate sea wave climate at a site. The main purpose is to obtain a more complete representation of the sea states, including the most severe states that ...
F. Barbariol +5 more
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Rough Self Organizing Map [PDF]
Applied Intelligence, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pal, Sankar K. +2 more
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Analisis Cluster Data Interkomparasi Anak Timbangan dengan Algoritma Self Organizing Maps
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2021 Intercomparison was conducted to determine the ability and the performance of the laboratory. Intercomparison results are usually expressed in the range of En ratio values (En ?|1|) which express the equivalence of one laboratory with other laboratories.
Arif Fajar Solikin +2 more
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Market segmentation of coastal tourists with The self organizing maps approach [PDF]
مدیریت بازرگانی, 2017 : An individual’s choice for a particular destination depends on it's characteristics and different motivation of visitors. Therefore, in order to identify coastal tourist's profiles and motivation, this research was conducted among tourists who visit's ...
Manijeh Bahrainizadeh +2 more
doaj +1 more source
Fuel Cell Health Monitoring Using Self Organizing Maps
Chemical Engineering Transactions, 2013 The problem of durability of fuel cell technology is central for its spreading and commercialization. There is therefore a growing need to build accurate diagnosis tools which can give the operating state of the fuel cell during their use.
R. Onanena +6 more
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Robust Self-organizing Maps [PDF]
, 2004 The Self Organizing Map (SOM) model is an unsupervised learning neural network that has been successfully applied as a data mining tool. The advantages of the SOMs are that they preserve the topology of the data space, they project high dimensional data to a lower dimension representation scheme, and are able to find similarities in the data.
Allende, H +3 more
openaire +3 more sources
Chemosensors, 2023 Myxoid liposarcoma and Ewing sarcoma are the two most common tumor types that are characterized by the FET (FUS, EWSR1 and TAF15) fusion oncogenes. These FET fusion oncogenes are considered to have the same pathological mechanism.
Amin Forootan +5 more
doaj +1 more source
Document Clustering using Self-Organizing Maps
Mendel, 2017 Cluster analysis of textual documents is a common technique for better ltering, navigation, under- standing and comprehension of the large document collection.
Muhammad Rafi +4 more
doaj +1 more source
Fault prediction in aircraft engines using Self-Organizing Maps [PDF]
, 2009 Aircraft engines are designed to be used during several tens of years. Their maintenance is a challenging and costly task, for obvious security reasons.
7th International Workshop Self-Organizing Maps (WSOM 2009) +7 more
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Classifying Amharic News Text Using Self-Organizing Maps [PDF]
, 2005 The paper addresses using artificial neural networks for classification of Amharic news items. Amharic is the language for countrywide communication in Ethiopia and has its own writing system containing extensive systematic redundancy.
Eyassu, Samuel, Gambäck, Björn
core +3 more sources