self organizing map networks
SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... So far, a large number of clustering algorithms have been proposed for data classification based on centrality measures. Certain algorithms follow an iterative approach that begins operating by describing the whole ...
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Creation of Text Document Matrices and Visualization by Self-Organizing Map
... common word list obtained by TMG is used. The text document matrix has 60 rows and 2368 columns ( 𝑁 = 60 , 𝑛 = 2368 ). We see in Fig. 2 that some clusters are observed. Most data items from the same classes form ...
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Classifying content-based Images using Self Organizing Map Neural Networks Based on Nonlinear Features
... Some of the main responsibilities of power management system in context of mobile operating system are, i.e., control the power requirement of hardware devices, increase the life time[r] ...
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Customer Segmentation of Credit Card Default by Self Organizing Map
... neural networks is that the competing layers of the network compete for the input mode to respond to the opportunity, and finally only one neuron becomes the winner of the ...
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Self Organizing Map Approach for Identifying Mental Disorders
... Jabar & Mabruk [5] designed and implemented a multilayered perceptron to classify transcribed speech samples and determine mental health problems. The proposed classification system is used to determine if a text or ...
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INTEGRATION OF THE SELF-ORGANIZING MAP AND NEURAL GAS WITH MULTIDIMENSIONAL SCALING
... The self-organizing map (SOM) is a class of neural networks that are trained in an unsupervised manner using a competitive learning ...
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Multistrategy self-organizing map learning for classification problems
... ANN and evolutionary computation methodologies have each been proven e ff ective in solving certain classes of prob- lems. For example, neural networks are very e ffi cient at map- ping input to output vectors ...
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The Time Adaptive Self Organizing Map for Distribution Estimation
... TASOM networks for the five distributions versus the number of iterations are depicted for every 1000 samples in Figures 2(a)- (e), where dashed lines represent the SOM’s behavior and solid lines represent the ...
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Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks
... neural networks, multilayer perceptron (MLP) and self-organizing feature map (SOM) were used to detect mastitis by automatic milking systems (AMS) using a new mastitis indicator that combined ...
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Efficient Satellite Image Segmentation using Energetic Self Organizing Map
... satellite imagery is in incremental state and that each previous step influences to the next. Hence a good segmentation is required to obtain good classification result.The main challenges of Satellite image segmentation ...
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Hand Gesture Recognition System Using Kohonen Self Organizing Map
... neural networks for pattern (image) recognition has many advantages compared to other techniques like statistical modeling, programming logic or using database of patterns which require much memory space ...Neural ...
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New variant of the Self Organizing Map in Pulsed Neural Networks to Improve Phoneme Recognition in Continuous Speech
... Thereafter, mel frequency cepstral analysis was applied to extract the 12 mel cepstrum coefficients. The mel scale is an equi-pitch scale describing the subjective and perceptual response to frequency of human listener. ...
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The ubiquitous self-organizing map for non-stationary data streams
... SOM-like networks, there is surprisingly and comparatively very little work dealing with incremental learn- ...evolving self-organizing map (ESOM) [10, 11] is based on an incremental network ...
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Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm
... In order to use the effectiveness of cluster-based routing algorithms in increasing of WSNs lifetime, we tried to present a new Energy Based Clustering Self organizing map (EBC-S). The motivation of ...
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Social Interaction and Self-Organizing Map
... The self-organizing map (SOM) [1] is one of the most well-known techniques in neural ...because self-organizing maps are generally only concerned with competition and cooperation ...
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Self-organizing map and multilayer perceptron for malay speech recognition
... recognition system can be classified according to the type of speech, size of the vocabulary, the basic units and the speaker independence. The position of a speech recognition system in these dimensions determines which ...
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DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
... neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man ...
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Analytical SIR for Self Organizing Wireless Networks
... The main contribution of this paper is the derivation of the pdf of the SIR in a self-organizing wireless system, where network planning is minimal, without recourse to Monte Carlo simulations. The ...
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Lifestyle patterns in the Iranian population: Self- organizing map application
... As for consuming oil, the participants were categorized into 2 groups: 1) people who mostly consumed saturated oil (hydrogenated vegetable fats, butter or other animal fats, margarine) and 2) those who mainly consumed ...
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NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... 8. Zhang P., Verma B., Kumar K., Neural vs statistical classifier in conjunction with genetic algorithm fea- ture selection in digital mammography. IEEE, 2003. 9. Zhou Z., Wei S., Zhang X., Zhao X., Remote sens- ing ...
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