This article is about the database model. For other uses, see Network model (disambiguation).
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Bachman diagram of a simple network database
In computing, the network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature is that the schema, viewed as a graph in which object types are nodes and relationship types are arcs, is not restricted to being a hierarchy or lattice.
The network model was adopted by the CODASYL Data Base Task Group in 1969 and underwent a major update in 1971. It is sometimes known as the CODASYL model for this reason. A number of network database systems became popular on mainframe and minicomputers through the 1970s before being widely replaced by relational databases in the 1980s.
In computing, the networkmodel is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature...
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 networkingmodel 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...
Metabolic networkmodelling, also known as metabolic network reconstruction or metabolic pathway analysis, allows for an in-depth insight into the molecular...
Hierarchical networkmodels are iterative algorithms for creating networks which are able to reproduce the unique properties of the scale-free topology...
outperforming traditional models in certain speech applications. In 2009, a Connectionist Temporal Classification (CTC)-trained LSTM network was the first RNN...
article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective...
Networkmodel 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...
of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena." The study of networks has...
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...
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 Gaussian networkmodel (GNM) is a representation of a biological macromolecule as an elastic mass-and-spring network to study, understand, and characterize...
Copying networkmodels are network generation models that use a copying mechanism to form a network, by repeatedly duplicating and mutating existing nodes...
time. Neural Network Models can undergo learning patterns to use episodic memories to predict certain moments. Neural networkmodels help the episodic memories...
geometry models of wireless networks refer to mathematical models based on stochastic geometry that are designed to represent aspects of wireless networks. The...
of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate...
interval. A neural networkmodel based on pulse generation time can be established. Using the exact time of pulse occurrence, a neural network can employ more...
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...
Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by neural circuitry...
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