Neural Networks (NN)

The Official Journal of the Asia-Pacific Neural Network Society, the International Neural Network Society & the Japanese Neural Network Society 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, including deep learning and related approaches to artificial intelligence and machine learning. Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep neural networks and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning 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 artificial intelligence. Accordingly, the 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, and software surveys. Articles are published in one of four sections: learning systems, cognitive and neural science, mathematical and computational analysis, engineering and applications. 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. Members of the societies listed as affiliated to the journal receive a 25% discount on Article Processing Charges when they publish an article in Neural Networks as an author - this will be detailed through the submission and production processes.

Neural Networks (NN) is :-

• International, Peer-Reviewed, Open Access, Refereed, Neuroscience, Control, Optimization, Artificial Intelligence, Engineering, Computer Science , Online or Print , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0893-6080, E-ISSN: 1879-2782, Established: 1988, Impact Factor: 7.9
• Does Not Provide Crossref DOI

• Indexed in: Scopus, WoS

• Not indexed in DOAJ, PubMed, UGC CARE