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...

Hopfield network (associative memory or Ising–Lenz–Little model or Nakano-Amari-Hopfield network) is a spin glass system used to model neural networks, based...

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

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

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

The network model is a database model. The term may also refer to: Network topology Packet generation model Channel model This disambiguation page lists...

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

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

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

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

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

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...

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...

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...

time. Neural Network Models can undergo learning patterns to use episodic memories to predict certain moments. Neural network models help the episodic memories...

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...

neural network models in neuroscience. Minsky and Papert pointed out that recurrent networks can be unrolled in time into a layered feedforward network. (p...

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

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

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

geometry models of wireless networks refer to mathematical models based on stochastic geometry that are designed to represent aspects of wireless networks. The...

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

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...

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

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...

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...