self-organizing network
Estimation of applicability of modern neural network methods for preventing cyberthreats to self organizing network infrastructures of digital economy platformsa,,b
... Self-organizing network infrastructures (for example, VANET – a network among connected cars, FANET – a network between flighting facilities, MARINET – a network between floating ...
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Self Organizing Network Functions in 4G (LTE)
... with Self Organizing Network (SON) and its functions which play a very important role in the cellular ...of network parameters of increasing number of base stations in the ...to network ...
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Research on the Status of Wireless Self organizing Network
... packet network, after decades of development and ...wireless self-organized network. Compared with the traditional network, the wireless self-organizing network with ...
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When Peer to Peer comes Face to Face: Collaborative Peer to Peer Computing in Mobile Ad hoc Networks
... and self-organizing network of autonomous, mobile devices that interact as ...a network, connectivity is determined by distance between devices; as hosts change their physical location they ...
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Simulation of MANET using GloMoSim Network Simulator
... hoc network (MANET) is a temporary self-organizing network of wireless mobile nodes without the support of any existing infrastructure that may be readily available on the conventional ...a ...
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Efficient Method for Intrusion Detection in Multitenant Data Center
... The Self-Organizing Map [11][12] is a neural network model for analyzing and visualizing high dimensional ...learning network. It is a competitive network where the goal is to transform ...
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Supervised Self-Organizing Classification of Superresolution ISAR Images: An Anechoic Chamber Experiment
... Hence, another objective of the paper is to evaluate the performance of a classifier we have developed recently in the framework of ATR using feature vectors extracted from ISAR images. This classifier, called SART ...
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New variant of the Self Organizing Map in Pulsed Neural Networks to Improve Phoneme Recognition in Continuous Speech
... neural network, recurrent neural network and self-organizing maps (SOM), but present some weaknesses if patterns involve a temporal ...
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Face Recognition Using Neural Network Technique Som (Self Organizing Maps)
... 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 ...
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Clustering and parameter optimization in MANETS using SOM and Genetic Algorithm
... SOM actually is inherent to the features of the problem to be called as Self Organizing Feature MAPS. The Self-Organizing Map was evolved by Professor Tevo Kohonen and has been proven useful ...
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SOM Network Based Clustering Analysis of Real Estate Enterprises
... a network, but by a number of neurons simultaneously (in ...neural network makes it possible for the space distribution of connection weights vector to reflect the input mode’s statistical characteristics ...
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Landforms identification using neural network-self organizing map and SRTM data
... Kohonen Self Organizing Map (SOM) as an unsupervised neural network algorithm is used for classification of these morphometric parameters into 10 classes representing landforms elements such as ...
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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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A Computerized Neural Network System to Filter Unwanted Messages from OSN User Walls
... On-line Social Networks (OSNs) are platforms that allow people to publish information about them and to connect to other users of the network through links. Now days, the popularity of OSNs is increasing ...
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A New Technique to Prevent MANET against Rushing Attack
... hoc network is a collection of mobile nodes communicating through wireless channels without any existing network infrastructure or centralized ...wireless network, multiple "hops" are needed ...
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Image Segmentation using Bi Directional Self Organize Neural Network (BDSONN)
... the network using the fixed and full inter-layer interconnections between the corresponding neurons of the different layers of the ...the network input states are propagated from the input layer to the ...
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International Journal of Emerging Technology and Advanced Engineering
... Neural Network is proposed as an intelligent tool for predicting Rainfall Time ...other network such as Jordon Elmann Neural Network, SOFM (Self organized feature map), RNN (Recurrent neural ...
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Brain Tumor Classification Using Pattern Recognition Techniques: the Comprehensive Review
... [9] Yudong Zhang, Zhengchao Dong , Lenan Wu, Shuihua Wanga, in this paper, they have present a method which use neural network to classify a brain image as normal or abnormal. This method first employs wavelet ...
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Learning of alphabets using Kohonen's Self organized featured map
... (or Self Organizing Maps, SOMs) are one of the most popular learning strategies among the several Artificial Neural Networks algorithms proposed in literature ...projects. Self- Organizing ...
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Mining hidden information from library databases using SOM (Self Organizing Map)
... (Self Organizing Map) on SOM (Self Organizing Map) Algorithm to Order Documents Algorithm to Order Documents Based on Their Full Text ...
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