Neural Networks

Journal Title：Neural Networks

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.

《神經網絡》是世界上三個最古老的神經建模協會的檔案期刊：國際神經網絡協會 (INNS)、歐洲神經網絡協會 (ENNS) 和日本神經網絡協會 (JNNS)。加入這些協會的會員均可訂閱該期刊。

《神經網絡》提供了一個論壇，用于發展和培養對神經網絡各個方面以及計算智能相關方法感興趣的國際學者和從業者社區?！渡窠浘W絡》歡迎高質量的投稿，這些投稿有助于全方位的神經網絡研究，從行為和大腦建模、學習算法，到數學和計算分析，再到大量使用神經網絡概念和技術的系統的工程和技術應用。這種獨特的廣泛范圍促進了生物研究和技術研究之間的思想交流，并有助于促進對生物啟發的計算智能感興趣的跨學科社區的發展。因此，《神經網絡》的編輯委員會由心理學、神經生物學、計算機科學、工程學、數學和物理學等領域的專家組成。該期刊發表文章、信件和評論，以及致編輯的信、社論、時事、軟件調查和專利信息。文章發表在五個部分之一：認知科學、神經科學、學習系統、數學和計算分析、工程和應用。

Neural Networks創刊于1988年，由Elsevier Ltd出版商出版，收稿方向涵蓋工程技術 - 計算機：人工智能全領域，在行業領域中學術影響力很大，屬于TOP期刊，國際一流期刊，關注度和專業度非常高，所以對原創文章要求創新性很高，過審難度很高，如果您有志于TOP期刊，建議關注此刊。平均審稿速度 約12.0個月 約10.5周，影響因子指數6，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。