… We believe that the issue of explicit knowledge manipulation within the neurocomputing
paradigm has matured to such an extent, and is of such importance, that it warrants a volume …

… This book volume comprises new theoretical and practical findings in solving problems
related to the healthcare and allied fields using bio-inspired neurocomputing-based approaches. …

… This chapter discusses the importance of neural networks in neurocomputing. The convergence
… The application of neurocomputing to neuromodeling implies the existence of a realistic …

… 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 …

… We demonstrate this by using it to design a new approach for knowledge-based neurocomputing
using the FARB. First, by generating the equivalent FARB for a given (trained) ANN, we …

… [37] used a GE-based evolutionary automatic programming methodology, to discover
technical investment rules targeting the S&P 500 and Nikkei 225 indexes. The authors explored …

… 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 …

1 Abstract In 1989 we designed and implemented a Ring Array Processor (RAP) for fast
execution of our continuous speech recognition training algorithms, which have been dominated …

Real time monitoring, forecasting and modeling air pollutants’ concentrations in major urban
centers is one of the top priorities of all local and national authorities globally. This paper …

Video synopsis is an intelligent condensation approach to solve fast video browsing and
retrieval for surveillance cameras. However, collision caused by unsatisfied tube …