An autoassociative memory model is a function that, given a set of data points, takes as input
an arbitrary vector and outputs the most similar data point from the memorized set. However …

Abstract The Entropic Associative Memory is a novel declarative and distributed
computational model of associative memory. The model is general, conceptually simple, and …

In the radio telemetry systems of spacecraft, various data compression methods are used for
data processing. When using any compression methods, the data obtained as a result of …

Patients are the main object who must get the best service at a hospital, because the quality
of hospital services determines the recovery of a patient and the quality of the hospital. The …

Manuscript symbols can be stored, recognized and retrieved from an entropic digital
memory that is associative and distributed but yet declarative; memory retrieval is a …

The entropic associative memory (EAM) is a computational model of natural memory
incorporating some of its putative properties of being associative, distributed, declarative …

The Entropic Associative Memory holds objects in a 2D relation or``memory plane''using a
finite table as the medium. Memory objects are stored by reinforcing simultaneously the cells …

Abstract The Entropic Associative Memory (EAM) holds declarative but distributed
representations of remembered objects. These are characterized as functions from features …

Abstract The Turing Machine is the paradigmatic case of computing machines, but there are
others such as analogical, connectionist, quantum and diverse forms of unconventional …

Neural networks trained with backpropagation achieved impressive results in the last
decade. However, training such models requires sequential backward updates and non …