Self Organizing Map(SOM)
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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Customer Segmentation of Credit Card Default by Self Organizing Map
... of Self Organizing Map (SOM) to seg- ment individuals based on their credit ...information. SOM is an unsupervised machine learning method that reduces data complexity and ...
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Self Organizing Map Technique For Transformers Condition Monitoring From SFRA Result
... the Self Organizing Map are provided and it is also include of the example from the Matlab that had been try to give some explanation to use SOM technique for the clustering and to diagnosis ...
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Clustering Web Usage Data using Concept Hierarchy and Self Organizing Map
... classical SOM called Growing Hierarchical SOM ...Kohenen’s Self Organizing Map to organize Web documents into a two dimensional map according their document ...Kohonen’s ...
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MR Brain Image Segmentation Based on Self Organizing Map and Neural Network
... as Self organizing map and Neural Network to detect the various tissues like white matter, gray matter and cerebral spinal fluid for a given magnetic resonance image data set and also provide ...
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Application of Self Organizing Map for Exploration of REEs’ Deposition
... Since Self-organizing map has a 2-dimensional topology, the relations between centers of 19-dimensional clusters have been illustrated in a 2-dimensional ...
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Detection of brain tumor using K nearest neighbor (KNN) based classification model and self organizing map (SOM) algorithm
... In this paper we suggest the novel move toward for the detection of brain tumor. Here we use the classification technique of K-nearest neighbor (KNN) and for ignoring the error of the dataset image SOM ...
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Optical Characterization of Atmospheric Aerosols via Airborne Spectral Imaging and Self Organizing Map for Climate Change Diagnostics
... the SOM algorithm. The SOM algorithm classification of both AOD and ÅE is attributed to anthropo- genic influences among them land clearance, deforestation activities and bio- mass burning that dominate the ...
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Software Reusability Classification and Predication Using Self Organizing Map (SOM)
... classes. Self-Organizing Map (SOM) was used to cluster datasets of CK metrics values that were extracted from three different java-based ...how SOM can be applied on software CK metrics ...
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Enhanced Self Organizing Map Neural Network for DNA Sequence Classification
... on SOM as clustering, feature selection and classification, is ...introduced. SOM is employed by redesigning its several training phases to cope with the complex nature of DNA sequences, and integrating ...
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Visualization of Pareto Solutions by Spherical Self Organizing Map and It’s acceleration on a GPU
... Neurons in a spherical SOM are commonly placed in a geodesic dome, a type of quasi-regular polyhedron [5]. A geodesic dome is an approximated sphere constructed by halving each edge of a regular polyhedron, thus ...
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SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... on self-organizing map ...using SOM is that the method can automatically (self-organizing) clusters ...The SOM algorithm also can be applied to a large scale of social ...
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Multi-Contingency Cascading Analysis Of Smart Grid Based On Self Organizing Map (SOM)
... Nowadays, there are many researchers study about design and concepts of self organizing maps in smart grid. The analysis also focus on the cascading failure analysis in multi-contingency scenarios has been ...
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Application of Self Organizing Map (SOM) in Missing Daily Rainfall Data in Malaysia
... The SOM can be reliably applied in most of the hydrological study, especially in dealing with missing values on rainfall ...used. Self-organizing map (SOM) is then applied to identify ...
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Student behavior analysis using self organizing map clustering technique
... use SOM for clustering using the log file have encouraged this study to explore the performance of SOM in order to find the most significant clustering result that able to discover some hidden pattern in ...
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Clustering and parameter optimization in MANETS using SOM and Genetic Algorithm
... as Self Organizing Feature MAPS. The Self-Organizing Map was evolved by Professor Tevo Kohonen and has been proven useful in many ...by SOM in unsupervised ...
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Differential Gene Expression Analysis of Lung Cancer Genes of Human and Mouse Using Cluster
... algorithm, self-organizing maps (SOM), and finally apply the Principal Component Analysis (PCA) for avoid the unwanted values, adjust the data with help of log transform, for clustering genes and ...
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Self Organizing Map Improved for Classification of Partial Discharge using Desirability Function
... of SOM using different competitive learning algorithms to find the optimum conditions to classify measured PD activities into underlying insulation defects or source that generate ...and SOM quality ...
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An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation
... Surigao del Norte is a province of the Philippines located in the Caraga region of Mindanao between 125º15’ to 126º15’ east longitude and 9º18’ to 10º30’ north latitude [23]. It is bounded on the north and east by the ...
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A Two stage Intelligent Model for Personal Credit Loans Default Prediction by Using SOM and PHM
... customer relationship management (i.e. customer segmentation) into intelligent technology to predict the default. This study aimed to build a two-stage default predicted model by using self-organizing ...
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