Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Journal publishes technical articles on various aspects of artificial neural networks and machine learning systems.
Journal Home: Journal Homepage
Editor-in-Chief: Michel Verleysen, Mohamad H. Hassoun
scope: Coverage includes novel architectures, supervised and unsupervised learning algorithms, deep nets, learning theory, network dynamics, self-organization, optimization, biological neural network modelling, and hybrid neural/fuzzy logic/genetic systems.
Print ISSN: 13704621,
Electronic ISSN: 1573773X
Abstracting and Indexing: Scopus Science Citation Index Expanded
Imapct Factor 2021: 2.565
Subject Area and Category: Computer Science Artificial Intelligence Computer Networks and Communications Software Neuroscience Neuroscience (miscellaneous)
Publication Frequency:
H Index: 58
Q1:
Q2: Software
Q3:
Q4:
Cite Score: 4.8
SNIP: 0.8
Journal Rank(SJR): 0.597
Latest Articles: Latest Articles in Neural Processing Letters
Guidelines for Authors: Neural Processing Letters Author Guidelines
Paper Submissions: Paper Submissions in Neural Processing Letters
Publisher: Springer Netherlands
Country: Netherlands
