A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
We propose a new approach for analyzing the global asymptotic stability of the extended discrete-time bidirectional associative memory (BAM) neural networks. By using the Euler mle, we discretize the continuous-time BAM neural netwcM-ks as the extended discrete-time BAM neural networks with non-threshold activation functions. Here we present seme conditions under which the neural networks have unique equilibrium points. To judge the global asymptotic stability of the equilibrium points, wedoi:10.1631/jzus.2005.a0689 fatcat:ah636pbnz5felimaghkhxyahyi