An analysis of high-capacity discrete exponential BAM

Author

Wang, Chua-Chin ; Don, Hon-Son

Author_Institution

Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan

Volume

6

Issue

2

fYear

1995

fDate

3/1/1995 12:00:00 AM

Firstpage

492

Lastpage

496

Abstract

An exponential bidirectional associative memory (eBAM) using an exponential encoding scheme is discussed. It has a higher capacity for pattern pair storage than conventional BAMs. A new energy function is defined. The associative memory takes advantage of the exponential nonlinearity in the evolution equations such that the signal-to-noise ratio (SNR) is significantly increased. The energy of the eBAM decreases as the recall process proceeds, ensuring the stability of the system. The increase of SNR consequently enhances the capacity of the BAM. The capacity of the exponential BAM is estimated

Keywords

content-addressable storage; encoding; stability; energy function; evolution equations; exponential bidirectional associative memory; exponential encoding scheme; exponential nonlinearity; high-capacity discrete exponential BAM; pattern pair storage capacity; recall process; signal-to-noise ratio; stability; Associative memory; Autocorrelation; Councils; Encoding; Magnesium compounds; Nonlinear equations; Reverberation; Stability; Very large scale integration; Voltage;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.363485

Filename

363485