Self Organizing Map Network
NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... a self-organizing map (SOM) with some changes in its structure and training ...SOM network recognize a model of noise, and consequently, segment noisy image as well by using spatial ...
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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 of ...
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Incipient Faults Diagnosis by Employing Self Organizing Map
... Statistical, Machine Learning and Neural Network based techniques have been found to be fairly effective for abrupt faults. However, it has been found that the application of these techniques to the datasets ...
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Spatial Temporal Characterization of Atmospheric Aerosols via Airborne Spectral Imaging and Growing Hierarchical Self Organizing Maps
... neural network based on unsupervised learning, is an effective software tool of feature extraction [5] ...analysis, map- ping high dimensional data onto a (usually) 2D output space while preserving the ...
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Self Organized Mapping based Map Reduce technique in big data analytics: A Neural Nnetwork approach
... Neural Network each node of the network works ...the network becoming useful it should learn about the information that is ...the network for the given ...the network must learn from ...
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Application of Self Organizing Map for Exploration of REEs’ Deposition
... neural network, topology of samples is not to be considered. Self-organizing map or briefly SOM is a type of artificial neural network (ANN), which is applied for clustering and its ...
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An Attempt to Recognize Handwritten Tamil Character Using Kohonen SOM
... -------------------------------------------------------------------------ABSTRACT ------------------------------------------------------------- This paper presents a new approach of Kohonen neural network based ...
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SELF ORGANIZING MAP OF ARTIFICIAL NEURAL NETWORK FOR DEFINING LEVEL OF SERVICE CRITERIA OF URBAN STREETS
... For this study the commercial capital of India Mumbai City was considered. The city has linear pattern of transport network having predominant North-South commuter movements. South Mumbai houses various work place ...
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Self Organizing Map Approach for Identifying Mental Disorders
... Kohonen network or Kohonen's Self-Organizing Map (SOM) or Kohonen's Self-Organizing (Feature) Map SO(F)M is one of the most popular network ...a network that ...
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The Time Adaptive Self Organizing Map for Distribution Estimation
... TASOM network used in this experiment undergoes a very changing environment, which endure five complete changes in its input space while the TASOM is initialized only one time during its lifetime, irrespective of ...
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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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Comparative Evaluation of Self Organizing Feature Map and Back Propagation Neural Network for Multimodal Biometric Systems
... The cross validation was implemented for different number of hidden layer neurons. Further, the testing samples were fed to neural network to determine the classification accuracy. The activation functions used in ...
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Prediction of Weather and Rainfall Forecasting using Classification Techniques
... recurring network and self organizing feature map are qualified for multi step in advance predictions and the results are compared with orientation to MSE (Mean square error),and NMSE ...
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Multistrategy self-organizing map learning for classification problems
... the network with target nodes for each input ...the network. Then, the output of the network is compared to the expected result to decide the ability of the network for classification ...the ...
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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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Geovisualization to support the exploration of large health and demographic survey data
... the Self-Organizing Map (SOM) [7] neural network as a means of organizing complex information spaces [8- 10], and for the creation of abstractions where conven- tional methods may be ...
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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 vector ...
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Enhanced Self Organizing Map Neural Network for DNA Sequence Classification
... interprets. Self-Organizing Map (SOM) is type of neural systems that can be easily interpreted, but still can’t be used with non numerical data ...
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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 ...Kohonen self-organizing maps (SOM) as part of the unsupervised learning algorithm of ANN has been ...
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MR Brain Image Segmentation Based on Self Organizing Map and Neural Network
... on Self-organizing map and fuzzy C-mean ...the Self-organizing map and fuzzy C mean algorithm to detect brain tumor, the efficiency have been proved by the results obtained from ...
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