Hopfield Network - A Simulation
As a simple example of this, we might design a neural network to store images of the numbers zero through nine represented as patterns on a two-dimensional grid.
Hopfield network as associative memory
A primary application of the Hopfield network is an associative memory.
Hopfield Network A type of feedback neural network that is often used as an associative memory or as a solution to a combinatorial optimization problem.
Hopfield networks are probably the best-understood class of recurrent networks.
Hopfield network
The Hopfield net is a recurrent neural network in which all connections are symmetric. This network has the property that its dynamics are guaranteed to converge.
[edit] Hopfield network
The Hopfield network is of historic interest although it is not a general RNN, as it is not designed to process sequences of patterns. Instead it requires stationary inputs.
6.6 The Hopfield network 188
6.7 Bidirectional associative memories 196
6.8 Self-organising neural networks 200 ...
The Hopfield net, a form of attractor network, was first described by John Hopfield in 1982. A neural network is an interconnected group of neurons. ...
They performed a statistical comparison of the performance of the SOFM with Hopfield network and ISODATA algorithm. The results indicate that the accuracy of SOFM is superior compared to both networks.
 See also: Neural network, Percept, Perceptron, Artificial intelligence, Classification
  
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