A discrete time oscillatory neural network (DTONN) for the dynamical associative memory is proposed in this paper. The network reveals fruitful dynamical behaviors when applied to associative memory for hand-written character patterns. It can recall the stored non-orthogonal patterns from the network when it is activated by an initial pattern contaminated by noise. The network also demonstrates the synchronous oscillations and spatio-temporal chaos during the auto-evolutionary procedure with time.
|Journal||Advances in Modeling and Analysis B|
|Publication status||Published - 1 Dec 1999|
ASJC Scopus subject areas
- Hardware and Architecture
- Industrial and Manufacturing Engineering
- Applied Mathematics
- Modelling and Simulation