Energy Relaxation for Hopfield Network with the New Learning Rule Saratha Sathasivam

@inproceedings{Abdullah2010EnergyRF,
  title={Energy Relaxation for Hopfield Network with the New Learning Rule Saratha Sathasivam},
  author={Wan Abdullah},
  year={2010}
}
In this paper, the time for energy relaxation for LittleHopfield neural network using the new activation rule is shown to be better than the relaxation time using Hebbian learning. However, this should be so given the characteristics of the activation function and show through computer simulations that this is indeed so. In this paper, it has been proven that the new learning rule has a higher capacity than Hebb rule by computer simulations. section 3; logic programming on a neural network… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 12 references

What does the Landscape of a Hopfield Associative Memory Look Like?

Evolutionary Programming • 1998
View 3 Excerpts
Highly Influenced

Handbook of Evolutionary Computation

Altenberg, Lee
1997
View 2 Excerpts

The logic of neural networks

W.A.T. Wan Abdullah
Physics Letters A • 1993
View 1 Excerpt

" Neural computation of decisions in optimization problems " , Bio !

J. J. Hopfield.
Cybern . • 1985

Neural computation of decisions in optimization problems

J. J. Hopfield
Bio!. Cybern., • 1985
View 1 Excerpt

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