Title :
Investigation of recall image by Partitioned Hopfield Neural Network
Author :
Shima, Tomoya ; Ikuta, Chihiro ; Uwate, Yoko ; Nishio, Yoshifumi
Author_Institution :
Dept. Electr. & Electron. Eng, Tokushima Univ., Tokushima, Japan
Abstract :
In this study, we propose Partitioned Hopfield Neural Network (PHNN) to realize the memory mechanism of the human brain. The PHNN is realized by arranging cell which has a small HNN in the whole image regularly without overlap. By computer simulations, we confirm that the PHNN recalls the whole image from the partial characteristic of the stored images.
Keywords :
Hopfield neural nets; brain; digital simulation; image processing; PHNN; computer simulations; human brain; memory mechanism; partitioned hopfield neural network; recall image investigation; Associative memory; Biological neural networks; High definition video; Humans; Information processing; Neurons; Simulation;
Conference_Titel :
Circuit Theory and Design (ECCTD), 2011 20th European Conference on
Conference_Location :
Linkoping
Print_ISBN :
978-1-4577-0617-2
Electronic_ISBN :
978-1-4577-0616-5
DOI :
10.1109/ECCTD.2011.6043339
