DocumentCode :
288482
Title :
Searching algorithms of the optimal radix of exponential bidirectional associative memory
Author :
Wang, Chua-Chin ; Lee, Jyh-Ping
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume :
2
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
1137
Abstract :
Due to the limitation of the dynamic range of VLSI circuits in the implementation of the exponential bidirectional associative memory (eBAM), the optimal radix must be found in order to get the maximal dimension for the eBAM. It is also necessary to update the radix when new pattern pairs are to be stored. An optimal updating algorithm for the radix is also present. Besides, a pattern pair training algorithm is proposed to ensure every trained pair stored in the eBAM will be recalled when an input pair is located in its basin with radius r
Keywords :
VLSI; content-addressable storage; digital arithmetic; integrated memory circuits; learning (artificial intelligence); search problems; VLSI circuits; exponential bidirectional associative memory; optimal radix; searching algorithms; Associative memory; Autocorrelation; Circuits; Dynamic range; Equations; Hardware; Learning systems; Magnesium compounds; Very large scale integration; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374343
Filename :
374343
Link To Document :
بازگشت