Self-Organizing Neural Network
3D head model from stereo images by a self-organizing neural network
... In this paper we have presented our method to generate 3D face model from two stereo images. It is a model based approach in which only a very few point correspondences are used to calculate the location of the 3D ...
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Fast Web Page Allocation On a Server Using Self- Organizing Properties of Neural Networks
... work, self-organizing properties of neural networks have been used in various other ...a self- organizing neural network to solve multiple traveling salesman problem and ...
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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
... industrial network infrastructures is temporarily restrained by minor penetration of inter-machine communications but there are already incidents with industrial networks and autonomous cars which demonstrate ...
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Discovering genome expression patterns with self organizing neural networks
... SOM network has successfully detected a class structure in a data set, which may allow one to differentiate its samples in terms of their patterns of functional ...
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An adaptive, self-organizing, neural wireless sensor network.
... more neural collisions than some predetermined ...the network by eavesdropping on network packets, and repeatedly selecting a node ID number until it finds one that is seemingly unused by other ...in ...
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Comparative Evaluation of Self Organizing Feature Map and Back Propagation Neural Network for Multimodal Biometric Systems
... [4]. Self-organizing feature map also known as a Kohonen map is a well-known artificial neural network and has been widely utilized in pattern recognition ...
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A Self Organizing Neural Scheme for Door Detection in Different Environments
... Kohonen Self Organizing Map (SOM) based ...learning neural architecture that is a digital analogue of the brain’s self-organizing ...Kohonen Network that represent input vectors ...
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The Effectiveness of Self-Organizing Network Toolbox (1)
... and neural network structure should consist of both a static component derived during a controlled learning process using data with annotated classes, and a dynamic component that can tailor a system to its ...
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Self-organizing traffic flow prediction with an optimized deep belief network for internet of vehicles
... deep neural network models comprising of multiple layers of hidden nodes representing latent variables for detecting features extracted from the original multi-dimensional input data ...
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NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... K., Neural vs statistical classifier in conjunction with genetic algorithm fea- ture selection in digital ...on self organizing map at multiple ...
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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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Usage of self-organizing neural networks in evaluation of consumer behaviour
... In concrete application of Kohonen neural network on consumer’s expense the unsupervised learn- ing method has been chosen – the self-organization. So the features of data are evaluated by cluster- ...
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SELF ORGANIZING MAP OF ARTIFICIAL NEURAL NETWORK FOR DEFINING LEVEL OF SERVICE CRITERIA OF URBAN STREETS
... is trained iteratively being inspired by neural networks in the brain. Self Organization Map (SOM) uses a competition and cooperation mechanism to achieve unsupervised learning. In SOM, a set of nodes is ...
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Face Recognition Using Neural Network Technique Som (Self Organizing Maps)
... for Network to perform better by using lesser training time, while maintaining the already achieved recognition rate for the reduced DCT-Feature Vectors during our 2nd ...
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Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection
... different network models and algorithms for data classification problems with the constant development of machine ...of network security as well as small difference between different intrusion categories, ...
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Mining Frequent Patterns using Self Organizing Map with MATLAB Neural Network Toolbox
... with self-organizing maps and competitive ...reenact neural systems. You can utilize Neural System Tool compartment for applications, for example, data fitting, pattern acknowledgment, ...
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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 our ...
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Landforms identification using neural network-self organizing map and SRTM data
... competitive network with topology preserving characteristics (Bação et ...the network and Euclidean distances between that and all nodes in the network are ...
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Enhanced Self Organizing Map Neural Network for DNA Sequence Classification
... artificial neural networks (ANNs), among different soft computing methodologies are widely used to meet the challenges thrown by the main objectives of data mining classification techniques, due to their robust, ...
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Combining Luhmann and Actor Network Theory to see Farm Enterprises as Self organizing Systems
... actor- network is always just one among (infinitely) many possible ...the network and there is no platform for making these choices rationally, because the network must establish its own schema of ...
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