Title :
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
fDate :
3/1/1995 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on