Self-organizing map · Neural networks
Classifying content-based Images using Self Organizing Map Neural Networks Based on Nonlinear Features
... Some of the main responsibilities of power management system in context of mobile operating system are, i.e., control the power requirement of hardware devices, increase the life time[r] ...
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Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm
... sensor networks are composed of a large number of sensor nodes with limited energy ...sensor networks is how to gather sensed information in an energy efficient way since the energy is ...Sensor ...
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Self Organized Mapping based Map Reduce technique in big data analytics: A Neural Nnetwork approach
... through Map Reduce framework over Hadoop Distributed File System ...describes Map Reduce has a programming model for data intensive applications and has also proposed a model for scheduling the divisible ...
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Usage of self-organizing neural networks in evaluation of consumer behaviour
... Zde uvedené výsledky shlukování pomocí Koho- nenovy mapy můžeme porovnat s výsledky získa- nými nad stejnými daty aplikací metody shlukové analýzy, jejichž výsledné dendrogramy jsou uve- deny v (Turčínková, Stejskal, ...
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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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SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... social networks is presented. This algorithm is designed based on self-organizing map ...social networks, this algorithm has a higher ...
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Geovisualization to support the exploration of large health and demographic survey data
... ficial Neural Networks as part of a strategy to improve geo- graphical analysis of large, complex datasets ...Artificial Neural Networks have the ability to perform pat- tern recognition and ...
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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 ...Artificial neural networks (ANN) have broad applicability to real-world business ...Since neural ...
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Enhanced Self Organizing Map Neural Network for DNA Sequence Classification
... using a graph that represents the relations between the variables, which allows to reason about the properties entailed by the product. Examples are Bayesian methods for constructing phylogenetic trees [16]. The ...
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... on neural networks theory are ...forward neural networks and Kohonen’s self-organizing maps are ...Kohonen’s self-organizing map is the most promising ...
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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 achieve vector ...
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GLOBAL JOURNAL OF ADVANCED ENGINEERING TECHNOLOGIES AND SCIENCES A STUDY ON CLASSIFICATION TECHNIQUES FOR THE IDENTIFICATION OF TUMOR TYPES IN ABNORMAL BRAIN MR IMAGES Sree Sankar. J*, R. A. Isabel, Bipin Dev S.S
... Self-Organizing Map (SOM) is also known as Self-Organizing Feature Map, is an unsupervised learning ...Artificial Neural Networks, Self-Organizing ...
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DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
... artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different ...
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Discovering genome expression patterns with self organizing neural networks
... Self-organizing neural networks represent a family of useful clustering- based classification methods in several application ...Kohonen Self-Organizing Feature Map (SOM) ...
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Social Interaction and Self-Organizing Map
... The self-organizing map (SOM) [1] is one of the most well-known techniques in neural ...because self-organizing maps are generally only concerned with competition and cooperation ...
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Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks
... ficial neural networks (ANN) were developed incorpor- ating EC and ...and self-organizing maps ...unsupervised neural network that does not require an output but finds clusters solely ...
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INTEGRATION OF THE SELF-ORGANIZING MAP AND NEURAL GAS WITH MULTIDIMENSIONAL SCALING
... [2] G. Dzemyda, O. Kurasova, V. Medvedev. Dimen- sion Reduction and Data Visualization Using Neural Networks. In: Maglogiannis, I., Karpouzis, K., Wal- lace, M., Soldatos, J. (eds.) Emerging Artificial ...
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SELF ORGANIZING MAP OF ARTIFICIAL NEURAL NETWORK FOR DEFINING LEVEL OF SERVICE CRITERIA OF URBAN STREETS
... Artificial Neural Networks (ANN) is the result of academic investigations that use mathematical formulations to model nervous system ...function. Neural network may be of single or multiple ...
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Effective Character Recognition using ANN & Convolution Techniques.
... Character recognition is performed off-line after the writing or printing has been completed, as opposed to on-line recognition where the computer recognizes the characters as they are drawn. Both hand printed and ...
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Maximal Ratio Combining using Self Organizing Map in Wireless Channels
... A SOM is a type of ANN that is trained using unsupervised learning to produce a low-dimensional (typically two dimensional), discretized representation of the input space of the training samples, called a map. ...
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