Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network
Society (INNS), the European Neural Network Society (ENNS),
and the Japanese Neural Network Society (JNNS). A subscription to
the journal is included with membership in each of ... click here for full Aims & Scope
Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network
Society (INNS), the European Neural Network Society (ENNS),
and the Japanese Neural Network Society (JNNS). A subscription to
the journal is included with membership in each of these societies.
Neural Networks is unique in its range and 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 articles that contribute
to the full range of neural networks research, ranging from behavioral and brain modeling, through mathematical and computational analyses,
to engineering and technological applications of systems that significantly use neural network concepts and algorithms. This broad range
facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of a new
interdisciplinary community that is interested in biologically-inspired computational intelligence. Accordingly, the Neural Networks
editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics.
The journal publishes current opinions, contributed articles, invited articles, letters to the editor, special issues, book reviews,
editorials, current events, software surveys, and patent information. Articles are published in one of five sections: psychology and
cognitive science, neuroscience and neuropsychology, mathematical and computer analysis, engineering and design, and technology and applications.
The journal is published ten times each 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 world-wide.
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