In computing, the network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature...

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function...

A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a...

Internet Protocol (IP). Early versions of this networking model were known as the Department of Defense (DoD) model because the research and development were...

OSI reference model, the communications between systems are split into seven different abstraction layers: Physical, Data Link, Network, Transport, Session...

associative memory. The Sherrington–Kirkpatrick model of spin glass, published in 1975, is the Hopfield network with random initialization. Sherrington and...

knowing whether a network is scale-free according to statistically rigorous definitions. Preferential attachment and the fitness model have been proposed...

Metabolic network modelling, also known as metabolic network reconstruction or metabolic pathway analysis, allows for an in-depth insight into the molecular...

The network model is a database model. Network model may also refer to: Network topology Packet generation model Channel model OSI reference model for...

A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization...

The Gaussian network model (GNM) is a representation of a biological macromolecule as an elastic mass-and-spring network to study, understand, and characterize...

Network model Relational model Entity–relationship model Enhanced entity–relationship model Object model Document model Entity–attribute–value model Star...

Hierarchical network models are iterative algorithms for creating networks which are able to reproduce the unique properties of the scale-free topology...

proposed the McCulloch-Pitts neuron model, considered networks that contains cycles. The current activity of such networks can be affected by activity indefinitely...

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...

sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In...

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...

of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena." The study of networks has...

to model reverse logistics network from an economics point of view, the following simplified reverse logistics system has to be set. In this model the...

article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective...

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...

FCAPS is the ISO Telecommunications Management Network model and framework for network management. FCAPS is an acronym for fault, configuration, accounting...

Copying network models are network generation models that use a copying mechanism to form a network, by repeatedly duplicating and mutating existing nodes...

of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate...

model Hierarchical model Network model Relational model Concept-oriented model Star schema A data structure diagram (DSD) is a diagram and data model...

for civil liberties on the Internet, endorses the distributed social network model as one "that can plausibly return control and choice to the hands of...

The Barabási–Albert (BA) model is an algorithm for generating random scale-free networks using a preferential attachment mechanism. Several natural and...

Internet Protocol Suite (TCP/IP) and other models and they often do not fit neatly into OSI layers. Telephone network modems IrDA physical layer USB physical...

Spiking neural networks (SNNs) are artificial neural networks (ANN) that more closely mimic natural neural networks. These models leverage timing of discrete...

star network network topology. "Hubbing" involves "the arrangement of a transportation network as a hub-and-spoke model". The hub-and-spoke model, as compared...