DocumentCode
3491959
Title
The Associative Memory Model with Expecting Fault-Tolerant Field on Multi-Value Information Space
Author
Yang, Guowei ; Wang, Shoujue ; Zhuang, Xiaodong
Author_Institution
Qingdao Univ., Qingdao
fYear
2008
fDate
6-8 April 2008
Firstpage
184
Lastpage
189
Abstract
The associative memory model with expecting fault-tolerant field on multi-value information space is proposed. The sample fault-tolerant field of the associative memory model memory has the hoped situation. The design method of the associative memory model with expecting fault-tolerant field on multi-value information space better solves the difficult synthesis problems of associative memory models.
Keywords
content-addressable storage; fault tolerance; learning (artificial intelligence); associative memory model; design method; fault-tolerant field; learning algorithm; multivalue information space; Associative memory; Automation; Bidirectional control; Biological neural networks; Brain modeling; Design methodology; Electrical capacitance tomography; Fault tolerance; Feedforward systems; History;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-1685-1
Electronic_ISBN
978-1-4244-1686-8
Type
conf
DOI
10.1109/ICNSC.2008.4525207
Filename
4525207
Link To Document