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
—