self-organizing map neural network
Enhanced Self Organizing Map Neural Network for DNA Sequence Classification
... SOM does not require an external teacher during the training phase. Therefore, SOM classified as unsuper- vised neural networks. The SOM receives a number of input patterns, discovers significant features in these ...
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Learning of alphabets using Kohonen's Self organized featured map
... on Self Organizing Map to deal with the matter of character ...using Self Organizing Map neural network has proven its efficiency in terms of ...
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Integrative Self Organizing Map—A Mean Pattern Model
... The self-organizing map (SOM) is a popular unsuper- vised artificial neural network algorithm [1] used for topological pattern ...
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SELF ORGANIZING MAP OF ARTIFICIAL NEURAL NETWORK FOR DEFINING LEVEL OF SERVICE CRITERIA OF URBAN STREETS
... propagation Neural Network traffic flow model for prediction of traffic volume of Istanbul ...clustering. Self Organizing Map (SOM) is a type of ANN which can learn to detect ...
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INTEGRATION OF THE SELF-ORGANIZING MAP AND NEURAL GAS WITH MULTIDIMENSIONAL SCALING
... After training the NG or SOM network, each input vector X i , 1,..., i = m , from X is related to the nearest neuron, called a neuron-winner. Some neurons may remain unrelated with any vector of the set X, but ...
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Weight Optimize by Automatic Unsupervised Clustering using Computation Intelligence
... calibrating map by applying the data of practice mode which is a competitive ...calibrating map aims to find the node with the weight close to the data vector of data space and target the position of node ...
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Spatial Temporal Characterization of Atmospheric Aerosols via Airborne Spectral Imaging and Growing Hierarchical Self Organizing Maps
... Neural network analysis based on Growing Hierarchical Self-Organizing Map (GHSOM) is used to examine Spatial-Temporal characteristics in Aerosol Optical Depth (AOD), Ångström Exponent ...
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NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... the map is defined by a vector Wij, whose elements are adjusted during the ...this neural network is its ability to process noisy data. The map preserves topo- logical relationships between ...
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Maximal Ratio Combining using Self Organizing Map in Wireless Channels
... of Self Organizing Map (SOM) which is a type of unsupervised Artificial Neural Network (ANN), as an aid to Maximal Ratio Combining (MRC) in order to improve bit error rate (BER) values ...
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Self Organized Mapping based Map Reduce technique in big data analytics: A Neural Nnetwork approach
... Networks”. Neural Networks is an amazing concept, it is totally different from other computer programs because each computer program has its own output or is unique, but in the case of Neural Network ...
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Face Recognition Using Neural Network Technique Som (Self Organizing Maps)
... Training neural network and simulating the images: During Training, an array of 64x1 images was constructed with 64 rows and 1 column after redesigning preprocessed grayscale images in ...SOM map ...
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Comparative Evaluation of Self Organizing Feature Map and Back Propagation Neural Network for Multimodal Biometric Systems
... Abstract- Multimodal system is capable of increasing the scope and variety of input information the system takes from the users for authentication. However, Face, Ear and fingerprint have compatibility formation but ...
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New variant of the Self Organizing Map in Pulsed Neural Networks to Improve Phoneme Recognition in Continuous Speech
... Spiking neural models can account for different types of computations, ranging from linear temporal summation of inputs and coincidence detection to multiplexing, nonlinear operations and preferential resonance ...
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Gist+RatSLAM: An Incremental Bio-inspired Place Recognition Front-End for RatSLAM
... ing self-organizing neural network is implemented, which models the competitive behavior of the cells found in visual and perirhinal ...as self-motion ...
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DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
... optimal self organizing map with suitable learning parameters should be selected for feature ...the network becomes stable and the weight vectors move to the same global minimum ...
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Data Clustering and Topology Preservation Using 3D Visualization of Self Organizing Maps
... Kohonen Map is an unsupervised artificial neural network technique and was developed by Teuvo Kohonen ...of map units. This artificial neural network training involves the ...
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Image Compression using Neural Network
... a neural network based technique that may be applied to image ...a neural network based self-organizing Kohonen map technique that may be a reliable and efficient way to ...
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An adaptive, self-organizing, neural wireless sensor network.
... self organizing map, which is an uncommon neural network designed to process and recognize multi-dimensional temporal ...RSOM neural algorithm was necessary to establish a solid ...
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Landforms identification using neural network-self organizing map and SRTM data
... Applying occurrence filter with 9×9 window to 10 individual landform element maps and using the resulting texture maps as input to a SOM allowed the mapping of 4 major landforms including mountains with steep slopes, ...
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Mining Frequent Patterns using Self Organizing Map with MATLAB Neural Network Toolbox
... This examination has researched an option technique for frequent pattern extraction by utilizing the Self-Organizing Map. All through the analyses we have exhibited how a clustering strategy can be ...
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