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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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