In computing, the network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature...
5 KB (600 words) - 06:20, 31 May 2025
machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure...
169 KB (17,641 words) - 00:21, 11 June 2025
OSI reference model, the components of a communication system are distinguished in seven abstraction layers: Physical, Data Link, Network, Transport, Session...
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The network model is a database model. Network model may also refer to: Network topology Packet generation model Channel model OSI reference model for...
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associative memory. The Sherrington–Kirkpatrick model of spin glass, published in 1975, is the Hopfield network with random initialization. Sherrington and...
64 KB (8,525 words) - 23:09, 22 May 2025
Internet protocol suite (redirect from TCP/IP model)
Internet Protocol (IP). Early versions of this networking model were known as the Department of Defense (DoD) model because the research and development were...
59 KB (6,846 words) - 18:05, 16 June 2025
not defined, so that the network does not have a characteristic scale or "size". Preferential attachment and the fitness model have been proposed as mechanisms...
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Hierarchical network models are iterative algorithms for creating networks which are able to reproduce the unique properties of the scale-free topology...
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A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a...
53 KB (6,630 words) - 21:10, 4 April 2025
geometry models of wireless networks refer to mathematical models based on stochastic geometry that are designed to represent aspects of wireless networks. The...
59 KB (7,849 words) - 02:34, 13 April 2025
Transformer (deep learning architecture) (redirect from Transformer model)
sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In...
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may be identical. A network's physical topology is a particular concern of the physical layer of the OSI model. Examples of network topologies are found...
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Metabolic network modelling, also known as metabolic network reconstruction or metabolic pathway analysis, allows for an in-depth insight into the molecular...
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Network model Relational model Entity–relationship model Enhanced entity–relationship model Object model Document model Entity–attribute–value model Star...
21 KB (2,959 words) - 04:46, 10 December 2024
In the seven-layer OSI model of computer networking, the network layer is layer 3. The network layer is responsible for packet forwarding including routing...
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of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena." The study of networks has...
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proposed the McCulloch-Pitts neuron model, considered networks that contains cycles. The current activity of such networks can be affected by activity indefinitely...
90 KB (10,419 words) - 09:51, 27 May 2025
article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective...
38 KB (5,049 words) - 17:39, 25 April 2025
The Gaussian network model (GNM) is a representation of a biological macromolecule as an elastic mass-and-spring network to study, understand, and characterize...
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Spoke–hub distribution paradigm (redirect from Hub-spoke model)
dubbing it the star network network topology. "Hubbing" involves "the arrangement of a transportation network as a hub-and-spoke model". In 1955, Delta Air...
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calculated by comparing clustering and path length of a given network to an Erdős–Rényi model with same degree on average. σ = C C r L L r {\displaystyle...
38 KB (4,646 words) - 17:23, 9 June 2025
Latin modulus, 'a measure'. Models can be divided into physical models (e.g. a ship model or a fashion model) and abstract models (e.g. a set of mathematical...
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recent efforts try to use text mining, curated databases, network inference from massive data, model checking and other information extraction technologies...
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model Hierarchical model Network model Relational model Concept-oriented model Star schema A data structure diagram (DSD) is a diagram and data model...
40 KB (5,059 words) - 00:58, 18 April 2025
The Barabási–Albert (BA) model is an algorithm for generating random scale-free networks using a preferential attachment mechanism. Several natural and...
21 KB (2,744 words) - 03:34, 4 June 2025
Vanishing gradient problem (category Artificial neural networks)
exploding gradient problem, the next model is clearer. Following (Doya, 1993), consider this one-neuron recurrent network with sigmoid activation: x t + 1...
24 KB (3,705 words) - 20:54, 10 June 2025
The Anisotropic Network Model (ANM) is a simple yet powerful tool made for normal mode analysis of proteins, which has been successfully applied for exploring...
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FCAPS (redirect from Network management model)
FCAPS is the ISO Telecommunications Management Network model and framework for network management. FCAPS is an acronym for fault, configuration, accounting...
16 KB (1,863 words) - 11:37, 10 October 2024
database model mandates that each child record has only one parent, whereas each parent record can have zero or more child records. The network model extends...
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Deep learning (redirect from Deep neural network)
However, current neural networks do not intend to model the brain function of organisms, and are generally seen as low-quality models for that purpose. Most...
180 KB (17,775 words) - 21:04, 10 June 2025