Official Journal of the International Neural Network Society, European Neural
Network Society and Japanese Neural Network Society
Aims and scope
Neural Networks is the archival journal of the world's oldest neural modeling society: the International Neural Network Society. A subscription to the journal can be gotten at a modest fee by joining INNS at http://www.inns.org.
The Official Journal of the International Neural Network Society, European Neural Network Society, & Japanese Neural Network Society.
Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS http://www.inns.org/), the European Neural Network Society (ENNS http://www.e-nns.org/), and the Japanese Neural Network Society (JNNS http://www.jnns.org/english.html). A subscription to the journal is included with membership in each of these societies.
Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence. Neural Networks welcomes high quality submissions that contribute to the full range of neural networks research, from behavioral and brain modeling, learning algorithms, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspired computational intelligence. Accordingly, Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics.
The journal publishes articles, letters, reviews, and current opinions, as well as letters to the editor, book reviews, editorials, current events, software surveys, and patent information. Articles are published in one of five sections: Cognitive Science, Neuroscience, Learning Systems, Mathematical and Computational Analysis, Engineering and Applications.
The journal is published twelve times a year. Neural Networks can be accessed electronically via Science Direct (http://www.sciencedirect.com/science/journal/08936080), which is used by over eight million individuals worldwide.
Contributions to Neural Networks can now be submitted electronically by using the Elsevier EES system: http://ees.elsevier.com/neunet/. Follow the link to this pdf document for information on how to access Neural Networks online.
Electronic submission of articles to Neural Networks: Instructions to authors
INNS Member Subscription Policy
Membership with subscription fees for January to December include a
1-year subscription to the journal Neural Networks. Memberships received
after October 1, will begin in January, unless designated by the
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