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Energy-Based Computation with Symmetric Hopfield Nets.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F03%3A06030180" target="_blank" >RIV/67985807:_____/03:06030180 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Energy-Based Computation with Symmetric Hopfield Nets.

  • Original language description

    We propose a unifying approach to the analysis of computational aspects of symmetric Hopfield nets which is based on the concept of 'energy source'. Within this framework we present different results concerning the computational power of various Hopfieldmodel classes. It is shown that polynomial-time computations by nondeterministic Turing machines can be reduced to the process of minimizing the energy in Hopfield nets (the MIN ENERGY problem). Furthermore, external and internal sources of energy are distinguished. The external sources include e.g. energizing inputs from so-called Hopfield languages, and also certain external oscillators that prove finite analog Hopfield nets to be computationally Turing universal. On the other hand, the internal source of energy can be implemented by a symmetric clock subnetwork producing an exponential number of oscillations which are used to energize the simulation of convergent asymmetric networks by Hopfield nets. This shows that infinite...

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Limitations and Future Trends in Neural Computation.

  • ISBN

    1-58603-324-7

  • Number of pages of the result

    26

  • Pages from-to

    45-70

  • Number of pages of the book

  • Publisher name

    IOS Press

  • Place of publication

    Amsterdam

  • UT code for WoS chapter