ENERGY RELAXATION FOR HOPFIELD NETWORK WITH THE NEW LEARNING RULE
Saratha Sathasivam, Abdul Halim Hakim, Pandian Vasant, Nader Nassif Barsoum · AIP conference proceedings · 2009
In this paper, the time for energy relaxation for Little‐Hopfield 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.