Title :
Statistical dynamics of associative memory for higher order neural networks
Author :
Yatsuki, Shuji ; Miyajima, Hiromi
Author_Institution :
Ube Nat. Coll. of Technol., Japan
Abstract :
This paper describes dynamics of recalling process for associative memory in higher order neural networks by using the statistical method. As a result, it is shown that as dynamics of a pattern are not interfered with by the other patterns except the target pattern, the ability of associative memory in higher order neural networks is superior to that of the traditional model
Keywords :
content-addressable storage; neural nets; pattern recognition; statistical analysis; associative memory; higher order neural networks; recalling process; statistical dynamics; target pattern; Associative memory; Educational institutions; Input variables; Integrated circuit modeling; Neural networks; Neurons; Statistical analysis;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856149