Kohonen self-organizing map network
Landforms identification using neural network-self organizing map and SRTM data
... competitive network with topology preserving characteristics (Bação et ...2005; Kohonen, 1989; Vesanto and Alhoniemi, ...of map units are initialized with random ...the network and Euclidean ...
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Kohonen Self Organizing for Automatic Identification of Cartographic Objects
... the Kohonen Self Organizing Map (KSOM) that uses competitive learning, which in turn results in data clustering ...the network, a neuron together with a predefined set of neighbor ...
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Kohonen Self Organizing Map with Modified K-means clustering For High Dimensional Data Set
... Kohonen Self Organizing Feature Maps, or SOMs provide a way of representing multidimensional data in much lower dimensional spaces - usually one or two ...the Kohonen technique creates a ...
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Color Reduction Using Local Features and a Kohonen Self-Organized Feature Map Neural Network
... neural network-based color clustering ...a Kohonen self- organized feature map (SOFM), which is an unsupervised neural network (Kohonen, 1997; Haykin, 1994; Strouthopoulos and ...
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Self Organizing Map Approach for Identifying Mental Disorders
... the network is being ...of network performance. The weights of best network are automatically saved during the training phase and will be loaded into the network before the testing process is ...
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Neural Network based Clustering using Visual Features of Characters‟ Shape in Image
... A Kohonen Self Organizing Map is used for clustering with four different topologies of sizes 6x5, 8x7, 9x8, and ...a Kohonen Self Organizing Map ...
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A modified kohonen self-organizing map (KSOM) clustering for four categorical data
... T he Kohonen Self-Organizing Map (KSOM) is one of the Neural Network unsupervised learning algorithms. This algorithm is used in solving problems in various areas, especially in ...
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NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... On the other hand, in unsupervised tech- nique inherent features extracted from the image is used for the segmentation. Unsupervised seg- mentation based on clustering includes K-means, Fuzzy C-Means (FCM) and ANN. ...
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Image Compression using Neural Network
... neural network based technique that may be applied to image ...neural network based self-organizing Kohonen map technique that may be a reliable and efficient way to achieve ...
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Classification of Triadic Chord Inversions Using Kohonen Self-organizing Maps
... SOM network placed the 64 chord generally in the same cluster that the 53 chord, as being the same ...topological map grouped the chords and its inversions in the same neighborhood in ...topological ...
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Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection
... different network models and algorithms for data classification problems with the constant development of machine ...of network security as well as small difference between different intrusion categories, ...
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An Attempt to Recognize Handwritten Tamil Character Using Kohonen SOM
... of Kohonen neural network based Self Organizing Map (SOM) algorithm for Tamil Character ...proposed Kohonen SOM algorithm yields promising output and feasible with other existing ...
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Hand Gesture Recognition System Using Kohonen Self Organizing Map
... using Kohonen Self-Organizing Map (SOM), an artificial neural network which learns to classify data without ...the Kohonen Self-Organizing ...
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An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation
... [9][10], self-organizing map [12] and artificial neural network models ...The Kohonen self-organizing maps (SOM) as part of the unsupervised learning algorithm of ANN has ...
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Credit Management Based on Risk Intelligence and its Managerial Implications
... a self-organizing map (SOM), an artificial neural network, and a Cox’s proportional hazard model, a semi-non-parametric technique for a survival ...
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Prediction of Weather and Rainfall Forecasting using Classification Techniques
... ANN are types of computer architecture inspired by biological neural networks (Nervous system of the brain) and are used to approximate functions that can depend on a large number of inputs and are generally unknown ...
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Extending the Kohonen Self-Organising Map by Use of Adaptive Parameters and Temporal Neurons
... We recapitulated th e stan d ard form of learning in the SOM, whereby the time- course of learning param eter decay is set arbitrarily in advance. We then presented evidence from simulations th a t the m ap forms stable ...
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International Journal of Emerging Technology and Advanced Engineering
... neural network models like Jordan Elman ,MLP (Multi layer perceptron), time lag recurrent network and self organizing feature map are trained for multi step ahead [1,5,10,20] ...
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How to Get the Same News from Different Language News Papers
... b) Word by Word Translator: In this module, the terms from English documents are taken and are translated to different languages. The translation is done word by word with the use of bilingual and multilingual synset ...
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Research on the Status of Wireless Self organizing Network
... the self-organizing network has always existed for a long ...the network for network ...the network if the outside of the intercept, and packaged into a node with the virus ...
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