Multilayer Networks
Community Extraction in Multilayer Networks with Heterogeneous Community Structure
... the Multilayer Ex- traction procedure through an empirical case study of three multilayer networks, including a multilayer social network, transportation network, and collaboration ...of ...
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Tensor Decomposition for Multilayer Networks Clustering
... . Multilayer networks clustering The prior research on node-aligned multilayer networks clustering is mostly pro- posed for multi-view clustering and multilayer ...
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Py3plex toolkit for visualization and analysis of multilayer networks
... complex networks offers novel opportunities to study intractable systems, such as protein interaction networks, transportation networks or social networks (Boccaletti et ...homogeneous ...
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Bayesian Learning of Dynamic Multilayer Networks
... of networks is being collected in a growing number of fields, including disease transmission, international relations, social interactions, and ...dynamic multilayer networks, which can enhance ...
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Co-contagion diffusion on multilayer networks
... clustered networks, synergistic diffusion behaves differently than equivalent random ...layer networks. For the case of mul- tiplex networks, Azimi-Tafreshi used general percolation theory to compute ...
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PubMedCentral-PMC5809009.pdf
... in multilayer networks (including multilayer representations of temporal ...most networks inherently changing in time, previous theory for limitations on small-community detection have been ...
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Behaviour of Multilayer Feed Forward Networks on Multidisciplinary Data
... A single-layer network has severe restrictions: the class of tasks that can be accomplished is very limited. Minsky and Papert showed in 1969 that a two layer feed-forward network can overcome many restrictions, but did ...
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A multilayer approach to multiplexity and link prediction in online geo-social networks
... multiple networks at a time [–], while most link prediction systems only employ features internal to the net- work under prediction, without considering additional link information from other ...of ...
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Efficient Algorithms for Constructing Multiplex Networks Embedding
... One of the way to use random-walks based methods on a multilayer networks is to merge all layers into a single network and then use random-walks based methods for single-layer networks. But during ...
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1604.02021.pdf
... on networks that consist of a single type of entity, with different entities connected to each other via a single type of ...Such networks are now called single-layer (or monolayer) ...called ...
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Supporting novel biomedical research via multilayer collaboration networks
... single multilayer net- work is widely used in complex ...define multilayer networks as networks which contain entities with different sets of neighbors in each ...of multilayer ...
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Comparing multilayer brain networks between groups: Introducing graph metrics and recommendations
... neuroimaging. Networks obtained from different modalities are usually treated in isolation, which is however contradictory to accumulating evidence that these networks show non-trivial ...Even ...
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Efficiently counting complex multilayer temporal motifs in large-scale networks
... dynamic networks that are changing over ...large-scale networks that may consist of millions of nodes and ...in multilayer networks and networks with par- tial timing, two prevalent ...
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Comparative Application of Radial Basis Function and Multilayer Perceptron Neural Networks to Predict Traffic Noise Pollution in Tehran Roads
... of multilayer perceptron and radial basis function networks in different ...and multilayer neural network to estimate the sediment load in a tropical watershed in Malaysia and Capila et ...and ...
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Prediction of the pharmaceutical solubility in water and organic solvents via different soft computing models
... neural networks, including multilayer perceptron, radial basis function, and support vector machine, were constructed to predict the solubility of these different pharmaceutical compounds in water and ...
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System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
... Determination of the nonlinear model of a quarter car suspension system has been discussed. The model is formulated using nonlinear Hammerstein model which is then used to design the neural network structure. The network ...
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Numerical Solution of Sixth Order Differential Equations Arising in Astrophysics by Neural Network
... Neural networks of an artificial nature are an interesting kind of artificial intelligence; they are unique in ...Neural networks mimic the learning process of the human brain in order to extract patterns ...
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Performance Evaluation Analysis of MLP & DG-RBF Feed Forward Neural Networks for Pattern Classification of Handwritten English Curve Scripts Naveen Kumar Sharma 1, S R Pande2 and Manu Pratap Singh 3*
... There are numerous algorithms have been proposed to improve the back propagation learning algorithm. Since, the error surface may have several flat regions; the back propagation algorithm with fixed learning rate may be ...
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Date Fruits Classification using MLP and RBF Neural Networks
... In this paper we have presented new date fruits sorting system. The system turns an image of the fruits into multiple features recognition problem where the extracted features of the same object are considered. Two ...
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Towards Neural Network Model for Insulin/Glucose in Diabetics-II
... RBF networks and Back propagation Feed forward networks have been applied with success to function approximation problems ...of networks in , a more like, regulator control ...Function ...
6