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...

Hopfield network (Ising model of a neural network or Ising–Lenz–Little model or Amari-Little-Hopfield network) is a spin glass system used to model neural...

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

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

steps). The intent of the transformer model is to take a seq2seq model and remove its recurrent neural networks, but preserve its additive attention mechanism...

outperforming traditional models in certain speech applications. In 2009, a Connectionist Temporal Classification (CTC)-trained LSTM network was the first RNN...

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

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

A residual neural network (also referred to as a residual network or ResNet) is a seminal deep learning model in which the weight layers learn residual...

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...

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...

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...

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

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

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...

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

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

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...

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...

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

and small-world network model supports the intense communication demands of neural networks. High clustering of nodes forms local networks which are often...

interval. A neural network model based on pulse generation time can be established. Using the exact time of pulse occurrence, a neural network can employ more...