Evolving weight matrices to increase the capacity of Hopfield neural network associative memory using hybrid evolutionary algorithm

Evolving Connection Weights for Pattern Storage and Recall in Hopfield Model of Feedback Neural Networks Using a Genetic Algorithm

“…Our focus here is exploring the evolution at connection weights level. Earlier work of evolution of connection weights in Hopfield neural network with GA can be found in [17][18][19] and [20][21][22][23]. We do not find much references of training the network and then recalling of patterns -both by evolutionary technique simultaneously.…”

QR Denoising using a Hopfield Network

“…A previous work uses the super-resolution technique that generates a high -resolution image from multiple low -resolution images to improve the performance of low -resolution QR code recognition. [4,5,6,7] In addition, some researchers use various binarizations to improve the non -uniform background and uneven light problems. Researchers propose several different methods for locating and extracting QR image code in the extraction of the QR code.…”