CONTRIBUTIONS → SPECIAL ISSUES (TENTATIVE. To be approved by the Editors-in Chief)

A list of papers with very high quality will be selected to be extended and submitted in different special issues. We have currently contacted with some journals (as in previous edition, and the agreement by the Editors-in Chief is required) , for example:


SPECIAL ISSUES (TENTATIVE. To be approved by the Editors-in Chief)

Soft Computing


Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. More information in the web page.

Editor-in-Chief: Antonio D. Nola
Published by SPRINGER.
Related subjects: Artificial Intelligence, Mathematical & Computational Methods, Mathematics, Robotics.
Impact Factor: 1.328 (2009) (Journal Citation Reports®, Thomson Reuters)



Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered. Neurocomputing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition. More information in the web page.

Editor-in-Chief: Prof. Tom Heskes - Radboud University Nijmegen (Holland)
Published by ELSEVIER
Impact Factor: 1.234 (2009) (Journal Citation Reports®, Thomson Reuters)


Neural Processing Letters

Neural Processing Letters is an international journal publishing research results and innovative ideas on all aspects of artificial neural networks. Coverage includes theoretical developments, biological models, new formal modes, learning, applications, software and hardware developments, and prospective researches.
The journal promotes fast exchange of information in the community of neural network researchers and users. The resurgence of interest in the field of artificial neural networks since the beginning of the 1980s is coupled to tremendous research activity in specialized or multidisciplinary groups. Research, however, is not possible without good communication between people and the exchange of information, especially in a field covering such different areas; fast communication is also a key aspect, and this is the reason for Neural Processing Letters.

Michel Verleysen, Université Catholique de Louvain, Belgium
Mohamad Hassoun, Wayne State University, Detroit, MI, USA

Published by SPRINGER
Impact Factor: 1.015 (2009) ( Journal Citation Reports®, Thomson Reuters)