Abstract:
We introduce a methodology for constructing an associative memory that is highly robust in the presence of noisy inputs. The memory is based on dendritic computing employ...Show MoreMetadata
Abstract:
We introduce a methodology for constructing an associative memory that is highly robust in the presence of noisy inputs. The memory is based on dendritic computing employing lattice algebraic operations. A major consequence of this approach is the avoidance of convergence problems during the training phase and rapid association of perfect and nonperfect input patterns with stored associated patterns.
Date of Conference: 31 July 2011 - 05 August 2011
Date Added to IEEE Xplore: 03 October 2011
ISBN Information: