… Neurocomputing makes use of parallel dynamical interactions of modifiable neuron-like …
review, tries to give mathematical foundations to neurocomputing. It considers the capabilities of …

… The logic aspect of neurocomputing we intend to realize requires that the processing
elements be endowed with the clearly delineated logic structure. We discuss several types of …

… This paper presents an overall insight and the hidden structure of the journal of neurocomputing
(NC) through an extensive bibliometric study on the publications and citations history …

This work, first, shows the inherent capacity of neural net /spl sigma/-FLNMAP for classification
based on semantics and, second, it demonstrates the capacity of an ensemble of /spl …

… Analog and hybrid circuits, reviewed in [4], [18], [19], are often able to provide compact
and low power implementations, but we consider only digital neurocomputers in this paper. …

… theoretical overview, we review some of the behavioural and neural phenomena by which
face and object recognition can be contrasted, and then present a neurocomputational …

… This book demonstrates the maturation of the neurocomputing field: it still shows that our
domain is not yet really stabilized. The conference was a place for large-and sometimes hot-…

… Particularly, the generation of RBF for neurocomputing in geometric algebra is easier using
the … We believe that the use of RBF–SMVM presents a promising neurocomputing tool for …

… based on neurocomputing strategies. The ANN is one of the most popular neurocomputing
… Another well-known neurocomputing strategy (ANFIS) was suggested to improve efficiency …

… Large volumes of time series naturally appear in almost every field such as biology, astronomy,
meteorology, finance, medicine, engineering, and others [1]. The ubiquity of time series …