Structured brain computing and its learning
作者:
Tadashi Ae,
Hiroyuki Araki,
Keiichi Sakai,
期刊:
AIP Conference Proceedings
(AIP Available online 1999)
卷期:
Volume 465,
issue 1
页码: 111-120
ISSN:0094-243X
年代: 1999
DOI:10.1063/1.58243
出版商: AIP
数据来源: AIP
摘要:
We have proposed a two-level architecture for brain computing, where two levels are introduced for processing of meta-symbol. At level 1 a conventional pattern recognition is performed, where neural computation is included, and its output gives the meta-symbol which is a symbol enlarged from a symbol to a kind of pattern. At Level 2 an algorithm acquisition is made by using a machine for abstract states. We are also developing the VLSI chips at each level for SBC (Structured Brain Computer) Ver.1.0. ©1999 American Institute of Physics.
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