Complex Valued Amari_Hopfield Neural Network: Convergence Theorem

EasyChair Preprint no. 11550

Abstract

In  this   research  paper,  a  simplified  expression  for  the  energy  function  of  a  complex  Hopfield  neural  network  is  derived.  Based  on  that  expression,  a  simplified  proof  of   convergence  Theorem  is   proposed. Several  interesting  results  related  to  convergence  Theorem  are   proved.

Keyphrases: convergence theorem, epsilon perturbation, Hopfield neural network, quadratic form, stable states

@Booklet{EasyChair:11550,
  author = {Rama Garimella and Shaik Salma},
  title = {Complex  Valued  Amari_Hopfield  Neural  Network:  Convergence  Theorem},
  howpublished = {EasyChair Preprint no. 11550},

  year = {EasyChair, 2023}}