Neural Processing Letters is an international journal publishing research results and innovative ideas in all fields of artificial neural networks.

Prospective authors are encouraged to submit letters concerning any aspect of the Artificial Neural Networks field including, but not restricted to, 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.
Impact factor: See the Scientific Journals Table
Issues per year: 6
ISSN: 1370-4621 (print version)
Abstracted/Indexed in:
ACM Computing Reviews, ACM Guide To Computing Literature, Compendex, Computer Abstracts International Database, Engineering Index Monthly, Inspec, Neuroscience Citation Index, PASCAL, Science Citation Index Expanded (SciSearch), SCOPUS, Zentralblatt Math

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