Title :
DMAN: distributed mass attraction network
Author :
Erdem, Mahmut Hilmi ; Ozturk, Yusuf
Author_Institution :
Dept. of Comput. Eng., Ege Univ., Izmir, Turkey
fDate :
27 Jun-2 Jul 1994
Abstract :
The authors previously proposed two neural associative memory architectures, namely, mass attraction network (MAN) and equivalent mass attraction network (EMAN), based on Newton´s mass attraction theory. DMAN is a neural network model based on the same concepts, but unlike MAN or EMAN, which use local representations, DMAN uses distributed representations. After introducing some general issues, this paper explains DMAN concept and the network. Computer simulations revealed much better performance than the Hopfield model on the basis of the capacity of the model and error
Keywords :
content-addressable storage; neural nets; DMAN; Hopfield model; distributed mass attraction network; Associative memory; Biological neural networks; Biological system modeling; Computer architecture; Computer networks; Computer simulation; Fault tolerance; Hardware; Hypercubes; Memory architecture;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374342