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
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;
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
DOI :
10.1109/ICAPP.1995.472190
