@article{(Open Science Index):https://publications.waset.org/pdf/10011867,
	  title     = {Implementation of an Associative Memory Using a Restricted Hopfield Network},
	  author    = {Tet H. Yeap},
	  country	= {},
	  institution	= {},
	  abstract     = {An analog restricted Hopfield Network is presented in
this paper. It consists of two layers of nodes, visible and hidden
nodes, connected by directional weighted paths forming a bipartite
graph with no intralayer connection. An energy or Lyapunov function
was derived to show that the proposed network will converge to
stable states. By introducing hidden nodes, the proposed network
can be trained to store patterns and has increased memory capacity.
Training to be an associative memory, simulation results show that the
associative memory performs better than a classical Hopfield network
by being able to perform better memory recall when the input is noisy.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {15},
	  number    = {2},
	  year      = {2021},
	  pages     = {157 - 161},
	  ee        = {https://publications.waset.org/pdf/10011867},
	  url   	= {https://publications.waset.org/vol/170},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 170, 2021},
	}