Ajou University repository

Neural Networks
ISSN
  • E1879-2782
  • P0893-6080
Publisher

Pergamon Press Ltd.

Listed on
(Coverage)

JCR1997-2023

SJR1999-2020;2022-2023

CiteScore2011-2023

SCI2010-2019

SCIE2010-2024

CC2016-2024

SCOPUS2017-2024

MEDLINE2016-2024

EMBASE2016-2024

Active
Active

based on the information

  • SCOPUS:2024-10
Country
ENGLAND
Aime & Scopes
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 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 and reviews, as well as letters to the editor, 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.
Article List

Showing results 1 to 2 of 2

Prospective classification of Alzheimer's disease conversion from mild cognitive impairmentoa mark
  • Park, Sunghong;
  • Hong, Chang Hyung;
  • Lee, Dong gi;
  • Park, Kanghee;
  • Shin, Hyunjung
  • 2023-07-01
  • Neural Networks, Vol.164, pp.335-344
  • Elsevier Ltd
Unsupervised feature learning for self-tuning neural networksoa mark
  • 2021-01-01
  • Neural Networks, Vol.133, pp.103-111
  • Elsevier Ltd
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