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self-organizing Kohonen network

Classification of Triadic Chord Inversions Using Kohonen
Self-organizing Maps

Classification of Triadic Chord Inversions Using Kohonen Self-organizing Maps

... The topological map shows the clusters of each pattern of the input set. In a very first observation one can see that the map demonstrates that similar chords are grouped together. This fact proves that the outcome is ...

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Neural Network based Clustering using Visual Features of Characters‟ Shape in Image

Neural Network based Clustering using Visual Features of Characters‟ Shape in Image

... The 53 general classes discussed above are then grouped into clusters using a Self-Organizing Map (SOM) developed by Kohonen and shown in Figure 5. Input vector X: 53x18 containing n=18 features for ...

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Molecular subtyping of bladder cancer using Kohonen self-organizing maps

Molecular subtyping of bladder cancer using Kohonen self-organizing maps

... through molecular biology) or by alternate methods of analysis. With this in mind, we have undertaken this study to evaluate the ability of SOM to integrate clinical– molecular information for stratifying outcomes in BC. ...

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Data Clustering and Topology Preservation Using 3D Visualization of Self Organizing Maps

Data Clustering and Topology Preservation Using 3D Visualization of Self Organizing Maps

... or Kohonen Map is an unsupervised artificial neural network technique and was developed by Teuvo Kohonen ...neural network training involves the process of adjusting weights of neurons to the ...

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Image Compression using Neural Network

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 vector ...

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Hand Gesture Recognition System Using Kohonen Self Organizing Map

Hand Gesture Recognition System Using Kohonen Self Organizing Map

... There are three phases in the development of the system as shown in Fig. 7. First is the training phase, second is setting boundaries, and third is the testing phase. In the training phase, ten samples of each hand ...

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Weight Optimize by Automatic Unsupervised Clustering using Computation Intelligence

Weight Optimize by Automatic Unsupervised Clustering using Computation Intelligence

... neural network is very significant and necessary because it is the first step of algorithm ...All’s network,Kohonen self-organizing feature maps and incremental learning fuzzy neural ...

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An Attempt to Recognize Handwritten Tamil Character Using Kohonen SOM

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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Kohonen Self Organizing for Automatic Identification of Cartographic Objects

Kohonen Self Organizing for Automatic Identification of Cartographic Objects

... i and its neighbors, and α (t ) is the learning rate, usually smaller than one. This procedure repeats until the weight updating is no longer significant. By the end of the learning process each neuron or group of ...

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Towards model evaluation and identification using Self Organizing Maps

Towards model evaluation and identification using Self Organizing Maps

... Self-Organizing maps have found successful practical ap- plications in speech recognition, image analysis, catego- rization of electric brain signals (Kohonen, 2001) as well as process monitoring ...

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NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK

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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A modified kohonen self-organizing map (KSOM) clustering for four categorical data

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 clustering ...

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Kohonen Self Organizing Map with Modified K-means clustering For High Dimensional Data Set

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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An Analytic investigation into self organizing maps and their network topologies

An Analytic investigation into self organizing maps and their network topologies

... the Kohonen Self Organizing Map algorithm is implemented as described in section ...different network topologies for the SOM as discussed in Section ...

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Gist+RatSLAM: An Incremental Bio-inspired Place Recognition Front-End for RatSLAM

Gist+RatSLAM: An Incremental Bio-inspired Place Recognition Front-End for RatSLAM

... There exists ample research exploiting cognitive processes for robot localization and mapping, for instance RatSLAM [10]. In this regard, tasks such as visual perception and recognition, which are primarily governed by ...

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Simulation of MANET using GloMoSim Network          Simulator

Simulation of MANET using GloMoSim Network Simulator

... This paper presents a reviewed existing routing protocols, applications and security issues of MANET. This investigation enables researchers to focus on the issues surrounding MANET and its applications. This paper lays ...

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A Self-Organizing Diffusion Mobile Adaptive Network for Pursuing a Target

A Self-Organizing Diffusion Mobile Adaptive Network for Pursuing a Target

... Moreover, in the combination step of diffusion LMS algorithm, each node needs to gather the intermediate estimates from all of its neighbours. Thus, this step may require large amount of communications for dense ...

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Dynamic & Self-Organizing of Ad-Hoc Network that enables Information Transfer

Dynamic & Self-Organizing of Ad-Hoc Network that enables Information Transfer

... ad-hoc network (MANET) is a self-configuring network of mobile routers (and associated hosts) connected by wireless links the union of which form an arbitrary ...a network may operate in a ...

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Estimation of applicability of modern neural network methods for preventing cyberthreats to self organizing network infrastructures of digital economy platformsa,,b

Estimation of applicability of modern neural network methods for preventing cyberthreats to self organizing network infrastructures of digital economy platformsa,,b

... neural network methods have been already actively developed for many years, the interest in this field has been lately increasing and this is coused by progress in IT and demand for fast processing of big data ...

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An Eco Hydrology Wireless Sensor Demonstration Network in High Altitude and Alpine Environment in the Heihe River Basin of China

An Eco Hydrology Wireless Sensor Demonstration Network in High Altitude and Alpine Environment in the Heihe River Basin of China

... In wireless sensor networks, nodes are generally far away from base stations, thus sensor’s data which col- lected by the nodes could not be directly transferred to the base station and data forwarding was often relied ...

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