Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate
and senior undergraduate levels in any branch of engineering, this self-contained and well …

The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

The theory of artificial neural networks has been successfully applied to a wide variety of
pattern recognition problems. In this theory, the first step in computing the next state of a …

In the past half century, we have experienced two major waves of methodological
development in the study of human behavior in space and time. The fIrst wave was the well …

Bidirectional Associative Memories (BAM) are systems that allow to associate pairs of
patterns. Once a memory has learned, patterns can be recalled in two directions. BAMs have …

This article introduces a neural architecture termed Adaptive Resonance Associative Map
(ARAM) that extends unsupervised Adaptive Resonance Theory (ART) systems for rapid, yet …

In this work a new Bidirectional Associative Memory model, surpassing every other past and
current model, is presented. This new model is based on Alpha–Beta associative memories …

Background. Lattice theory extends into virtually every branch of mathematics, ranging from
measure theory and convex geometry to probability theory and topology. A more recent …

Fuzzy cognitive maps (FCMs) can structure virtual worlds that change with time. A FCM links
causal events, actors, values, goals, and trends in a fuzzy feedback dynamical system. A …

Publisher Summary This chapter provides an account of different neural network
architectures for pattern recognition. A neural network consists of several simple processing …