Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 234,390,927 papers from all fields of science
Search
Sign In
Create Free Account
Hopfield network
Known as:
Hopfield neural network
, Hopfield nets
, Hopfield model
Expand
A Hopfield network is a form of recurrent artificial neural network popularized by John Hopfield in 1982, but described earlier by Little in 1974…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
20 relations
Artificial neural network
Artificial neuron
Autoassociative memory
Bidirectional associative memory
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2007
2007
RBF Neural Network Based SLM Peak‐to‐Average Power Ratio Reduction in OFDM Systems
I. Sohn
2007
Corpus ID: 60826560
One of the major disadvantages of the orthogonal frequency division multiplexing system is high peak‐to‐average power ratio (PAPR…
Expand
2007
2007
Énergie textuelle de mémoires associatives
Silvia Fernández
,
Eric SanJuan
,
Juan-Manuel Torres-Moreno
JEPTALNRECITAL
2007
Corpus ID: 63695190
Dans cet article, nous présentons une approche de réseaux de neurones inspirée de la physique statistique de systèmes magnétiques…
Expand
Highly Cited
2004
Highly Cited
2004
QoS provisioning dynamic connection-admission control for multimedia wireless networks using a Hopfield neural network
C. Ahn
,
R. S. Ramakrishna
IEEE Transactions on Vehicular Technology
2004
Corpus ID: 10336366
This paper presents a quality-of-service (QoS) provisioning dynamic connection-admission control (CAC) algorithm for multimedia…
Expand
1995
1995
Large deviation principles for the Hopfield model and the Kac-Hopfield model
Anton Bovier
,
V. Gayrard
,
P. Picco
1995
Corpus ID: 11614429
SummaryWe study the Kac version of the Hopfield model and prove a Lebowitz-Penrose theorem for the distribution of the overlap…
Expand
Review
1994
Review
1994
Complexity Issues in Discrete Hopfield Networks
P. Floréen
,
P. Orponen
1994
Corpus ID: 9885368
We survey some aspects ofthe computational complexity theory ofdiscrete-time and discrete-state Hopfield networks. The emphasis…
Expand
1991
1991
Superresolution algorithms for a modified Hopfield neural network
J. Abbiss
,
B. Brames
,
M. Fiddy
IEEE Transactions on Signal Processing
1991
Corpus ID: 43196690
The authors describe the implementation of a superresolution (or spectral extrapolation) procedure on a neural network, based on…
Expand
1989
1989
Fault tolerance of neural associative memories
J. Nijhuis
,
L. Spaanenburg
1989
Corpus ID: 59287597
The effects of hardware limitations and fabrication faults on the fault tolerance of neural associative memories using the…
Expand
Highly Cited
1988
Highly Cited
1988
Parallel architectures for artificial neural nets
S. Kung
,
Jenq-Neng Hwang
IEEE International Conference on Neural Networks
1988
Corpus ID: 14186938
The authors advocate digital VLSI architectures for implementing a wide variety of artificial neural nets (ANNs). A programmable…
Expand
1988
1988
Nonequilibrium phase transitions in pattern recognition and associative memory
H. Haken
1988
Corpus ID: 59474929
It is shown that a recently devised abstract model of parallel computing for pattern recognition and associative memory can be…
Expand
1984
1984
New Approach To Optical Information-Processing Based On The Hopfield Model
D. Psaltis
,
N. Farhat
1984
Corpus ID: 60688855
Reference EPFL-TALK-158565View record in Web of Science Record created on 2010-11-25, modified on 2017-05-10
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE