DocumentCode
293678
Title
ONBAM: an objective-neuron-based active memory
Author
Ae, Tadashi ; Tsyosaki, T. ; Fukumoto, Hikaru ; Sakai, Keiichi
Author_Institution
Dept. of Electr. Eng., Hiroshima Univ., Japan
Volume
1
fYear
1995
fDate
19-21 Apr 1995
Firstpage
231
Abstract
We propose an objective-neuron-based active memory, ONBAM, and design it by HDL. The ONBAM is an active topological memory, which is a memory with equivalently a topological space of data and a flexibly content-addressable function, which plays an important role of the memory-based AI machine
Keywords
content-addressable storage; memory architecture; neural net architecture; parallel architectures; HDL; ONBAM; active topological memory; flexibly content-addressable function; memory-based AI machine; objective-neuron-based active memory; topological space; Artificial intelligence; Computer aided manufacturing; Design engineering; Hardware design languages; Knowledge acquisition; Knowledge representation; Memory architecture; Network topology; Neural networks; Power system modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Algorithms and Architectures for Parallel Processing, 1995. ICAPP 95. IEEE First ICA/sup 3/PP., IEEE First International Conference on
Conference_Location
Brisbane, Qld.
Print_ISBN
0-7803-2018-2
Type
conf
DOI
10.1109/ICAPP.1995.472190
Filename
472190
Link To Document