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 :
بازگشت