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  2. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    A deep stacking network (DSN) [31] (deep convex network) is based on a hierarchy of blocks of simplified neural network modules. It was introduced in 2011 by Deng and Yu. [32] It formulates the learning as a convex optimization problem with a closed-form solution, emphasizing the mechanism's similarity to stacked generalization. [33]

  3. Network theory - Wikipedia

    en.wikipedia.org/wiki/Network_theory

    Network problems that involve finding an optimal way of doing something are studied as combinatorial optimization.Examples include network flow, shortest path problem, transport problem, transshipment problem, location problem, matching problem, assignment problem, packing problem, routing problem, critical path analysis, and program evaluation and review technique.

  4. Computer network - Wikipedia

    en.wikipedia.org/wiki/Computer_network

    An internetwork is the connection of multiple different types of computer networks to form a single computer network using higher-layer network protocols and connecting them together using routers. The Internet is the largest example of internetwork. It is a global system of interconnected governmental, academic, corporate, public, and private ...

  5. Network science - Wikipedia

    en.wikipedia.org/wiki/Network_science

    Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges ).

  6. Network flow problem - Wikipedia

    en.wikipedia.org/wiki/Network_flow_problem

    Network flow problem. In combinatorial optimization, network flow problems are a class of computational problems in which the input is a flow network (a graph with numerical capacities on its edges), and the goal is to construct a flow, numerical values on each edge that respect the capacity constraints and that have incoming flow equal to ...

  7. Network topology - Wikipedia

    en.wikipedia.org/wiki/Network_topology

    Network topology is the arrangement of the elements ( links, nodes, etc.) of a communication network. [ 1][ 2] Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks, [ 3] industrial fieldbusses and computer networks .

  8. Quality of service - Wikipedia

    en.wikipedia.org/wiki/Quality_of_service

    Quality of service ( QoS) is the description or measurement of the overall performance of a service, such as a telephony or computer network, or a cloud computing service, particularly the performance seen by the users of the network. To quantitatively measure quality of service, several related aspects of the network service are often ...

  9. List of NP-complete problems - Wikipedia

    en.wikipedia.org/wiki/List_of_NP-complete_problems

    Graph partition into subgraphs of specific types (triangles, isomorphic subgraphs, Hamiltonian subgraphs, forests, perfect matchings) are known NP-complete. Partition into cliques is the same problem as coloring the complement of the given graph. A related problem is to find a partition that is optimal terms of the number of edges between parts ...