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...

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

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

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...

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

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

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

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

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

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

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

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

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...

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...

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

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...

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...

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...

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

"Shiner" and originally consisted of two models, the Network Server 500/132 ("Shiner LE", i.e., "low-end") and the Network Server 700/150 ("Shiner HE", i.e....

Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by biological neural...

three networks in the so-called triple-network model, along with the salience network and the default mode network (DMN). The salience network facilitates...

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

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

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...

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