Abstract
This paper presents a sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with discrete time delays. Some numerical examples are given to compare our results with the previous robust stability results derived in the literature.
Keywords
Bidirectional associative memory
Content-addressable memory
Uniqueness
Artificial neural network
Exponential stability
Computer science
Stability (learning theory)
Equilibrium point
Associative property
Control theory (sociology)
Mathematics
Artificial intelligence
Nonlinear system
Differential equation
Control (management)
Machine learning
Pure mathematics
Subject Areas
Neural Networks Stability and Synchronization
·Computer Networks and Communications ·Physical Sciences
Distributed Control Multi-Agent Systems
·Computer Networks and Communications ·Physical Sciences
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
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