Self-organizing map
Color Image Segmentation using Kohonen Self-Organizing Map (SOM)
... Abstract— Color image segmentation using Kohonen Self-Organizing Map (SOM), is proposed in this study. RGB color space is used as input in the process of clustering by SOM. Measurement of the ...
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REPOSITORIO INSTITUCIONAL DA UFOP: A hierarchical self-organizing map model in short-termload forecasting.
... Abstract— This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets — one on top of the other. It has been ...
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Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen’s Self-Organizing Map
... Besides applications of the algorithm in financial, medical, chemical and biological research (an overview is presented in Kaski, 1997), SOM’s are also used in remote sensing (Richardson et al., 2003; Mercier et al., ...
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How entorhinal grid cells may learn multiple spatial scales from a dorsoventral gradient of cell response rates in a self-organizing map.
... A self-organizing map neural model explains how the anatomical gradient of grid spatial scales can be learned by cells that respond more slowly along the gradient to their inputs from stripe cells of ...
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Caracterização da situação orçamental no poder local baseado em indicadores orçamentais e self-organizing map por Marcos Pratas Lourenço
... Kohonen’s Self Organizing Map (não supervisionado) juntamente com o perceptrão multi-camada com o intuito de não só obter uma validação cruzada e atingir os objectivos propostos como também avaliar a ...
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Invertebrate diversity classification using self-organizing map neural network: with some special topological functions
... Topological structures generated from four topological functions are different, as illustrated in Fig. 1.Various topological functions demonstrated their major differences in types of neuron connection, resulted from ...
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Nodules Segmentation in Breast Ultrasound using the Artificial Neural Network Self-Organizing Map
... ANNs are intelligent models grounded in mathematical functions developed to resemble the workings of brain, modeling the achievement of a particular task. Thus, we used the Self-Organizing Map (SOM) ...
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Hepatitis B Diagnosis Using Logical Inference and Self-Organizing Map
... kohonen's self-organizing map network was applied to hepatitis data for predictions regarding the Hepatitis B which gives severity level on the ...
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Fingerprint Image Segmentation Using Haar Wavelet and Self Organizing Map
... Abstract —Fingerprint image segmentation is one of the important preprocessing steps in Automatic Fingerprint Identification Systems (AFIS). Segmentation separates image background from image foreground, removing ...
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Visualizing the topical structure of the medical sciences: a self-organizing map approach.
... the self-organizing map (SOM) method [14], which does not involve computation of similarity ...base map onto which high-dimensional vectors can be overlaid ...
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Análise Exploratória do Índice de Desenvolvimento Humano: uma aplicação do Self Organizing Map na segmentação dos países por Catarina Isabel Agostinho Cordas
... Assim, por exemplo, se analisarmos as dimensões por Índice de Desenvolvimento, concluiríamos que os países com mais actos de violação de Direitos Humanos são países de Baix[r] ...
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Clustering of the Self-Organizing Map based Approach in Induction Machine Rotor Faults Diagnostics
... Figure 4 plot shows the projection of both the training data set and the map grid. A principle component projection is made for the data, and applied to the map. Neighbouring map units are joining ...
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Enhanced Data Topology Preservation with Multilevel Interior Growing Self-Organizing Maps
... The Self-organizing map (SOM) [14] proposed by Kohonen in the 1980s, it has been widely used in several problem domains, such as data mining/knowledge exploration, vectors quantification and data ...
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Function Approximation of Seawater Density Using Genetic Algorithm
... and Self Organizing Map ...inject Self-Organizing map in the procedure to reduce the effect of the complexity of the model on the computation time and combine the evolving ...
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Pesqui. Oper. vol.32 número1
... A Self-Organizing Map (SOM) consists of M neurons located on a regular low-dimensional grid, usually in two dimensions (2-D) (Fig. 2). The lattice of the 2-D grid is either hexagonal or rectangular. ...
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Comparative analysis of model behaviour for flood prediction purposes using Self-Organizing Maps
... a Self-Organizing Map (SOM) in com- bination with index measures which are derived from the flow duration curve in order to examine the conditions un- der which three different distributed watershed ...
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Image Clustering Method Based on Density Maps Derived from Self-Organizing Mapping: SOM
... Clustering method is widely used for data analysis and pattern recognition [1]-[4]. Meanwhile, Self-Organizing Map: SOM proposed by T. Kohonen is a neural network with two layers which allows use as ...
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Visualization of Clusters in Geo-referenced Data Using Three-dimensional Self-Organizing Maps
... As the SOM units are represented in the input space, it’s also possible to consider any kind of projection of those units (i.e., the reference vectors associated) in some subspace of the input space. For instance, we can ...
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SEISMIC INTERPRETATION OF SELF-ORGANIZING MAPS USING 2D COLOR DISPLAYS
... the self-organizing map has P units, de- fined as prototype vectors, then, there will exist P N-dimen- sional prototype vectors m i , m i = [m i1 , ...
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Res. Biomed. Eng. vol.31 número3
... Abstract Introduction: Brain Computer Interfaces provide an alternative communication path to severe paralyzed people and uses electrical signals related to brain activity in order to identify the user’s intention. In ...
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