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Hopfield network

Known as: Hopfield neural network, Hopfield nets, Hopfield model 
A Hopfield network is a form of recurrent artificial neural network popularized by John Hopfield in 1982, but described earlier by Little in 1974… 
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Related topics

Related topics

20 relations
Artificial neural networkArtificial neuronAutoassociative memoryBidirectional associative memory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2007
2007
Design of two-channel linear-phase quadrature mirror filter banks based on neural networks
2007
2007
Balanced Job Assignment Based on Ant Algorithm for Computing Grids
Grid computing is a new research subject. The computing power and storage space of grids is collected from heterogeneous or… 
Highly Cited
2004
Highly Cited
2004
QoS provisioning dynamic connection-admission control for multimedia wireless networks using a Hopfield neural network
This paper presents a quality-of-service (QoS) provisioning dynamic connection-admission control (CAC) algorithm for multimedia… 
2001
2001
Invariant and attracting sets of Hopfield neural networks with delay
This paper studies invariant and attracting sets of Hopfield neural networks system with delay. Sufficient criteria are given for… 
Highly Cited
1997
Highly Cited
1997
NL q theory: checking and imposing stability of recurrent neural networks for nonlinear modelling (cid:3)
It is known that many discrete time recurrent neural networks, such as e.g. neural state space models, multilayer Hop(cid:12)eld… 
Highly Cited
1997
Highly Cited
1997
Large-scale economic dispatch using an improved Hopfield neural network
The application of Hopfield neural networks to the solution of large-scale economic-dispatch (ED) problems is proposed. A special… 
Highly Cited
1996
Highly Cited
1996
A hybrid neural approach to combinatorial optimization
Highly Cited
1996
Highly Cited
1996
Artificial neural network representations for hierarchical preference structures
Highly Cited
1989
Highly Cited
1989
A neural net arbitrator for large crossbar packet-switches
A Hopfield neural net architecture is proposed to control a crossbar switch in real time in order to effect the switching of… 
Highly Cited
1988
Highly Cited
1988
Parallel architectures for artificial neural nets
The authors advocate digital VLSI architectures for implementing a wide variety of artificial neural nets (ANNs). A programmable… 
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