Title :
Associative memory of sequential patterns using higher order neural networks
Author :
Miyajima, Hiromi ; Yatsuki, Shuji ; Matsuoka, Nobuyuki
Author_Institution :
Fac. of Eng., Kagoshima Univ., Japan
Abstract :
This paper describes associative memory of sequential patterns using higher order neural networks with monotone and nonmonotone output functions. Specifically, it is shown in numerical simulation that the second order neural network with sigmoid output function is superior to the other model
Keywords :
content-addressable storage; neural nets; associative memory; higher order neural networks; numerical simulation; output functions; sequential patterns; sigmoid output function; Associative memory; Autocorrelation; Biological neural networks; Brain modeling; Educational institutions; Electronic mail; Interpolation; Neural networks; Neurons; Numerical simulation;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.814123
