About:

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 2020:  2.908

Subject Area and Category:   Computer Science Artificial Intelligence Computer Networks and Communications Software Neuroscience Neuroscience (miscellaneous)

Publication Frequency:  

H Index:  54

Best Quartile:

Q1:  

Q2:  Software

Q3:  

Q4:  

Cite Score:  4.2

SNIP:  0.887

Journal Rank(SJR):  0.463

Latest Articles:   Latest Articles in Neural Processing Letters Journal - Springer Nature | 2020 Impact Factor:2.908|Cite Score:4.2|Q2

Guidelines for Authors: Neural Processing Letters Journal - Springer Nature | 2020 Impact Factor:2.908|Cite Score:4.2|Q2 Author Guidelines

Paper Submissions: Paper Submissions in Neural Processing Letters Journal - Springer Nature | 2020 Impact Factor:2.908|Cite Score:4.2|Q2

Publisher:  Springer Netherlands

Country:  Netherlands