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(jīng)網(wǎng)絡(luò)》是世界上三個(gè)最古老的神經(jīng)建模協(xié)會(huì)的檔案期刊：國際神經(jīng)網(wǎng)絡(luò)協(xié)會(huì) (INNS)、歐洲神經(jīng)網(wǎng)絡(luò)協(xié)會(huì) (ENNS) 和日本神經(jīng)網(wǎng)絡(luò)協(xié)會(huì) (JNNS)。加入這些協(xié)會(huì)的會(huì)員均可訂閱該期刊。

《神經(jīng)網(wǎng)絡(luò)》提供了一個(gè)論壇，用于發(fā)展和培養(yǎng)對(duì)神經(jīng)網(wǎng)絡(luò)各個(gè)方面以及計(jì)算智能相關(guān)方法感興趣的國際學(xué)者和從業(yè)者社區(qū)?！渡窠?jīng)網(wǎng)絡(luò)》歡迎高質(zhì)量的投稿，這些投稿有助于全方位的神經(jīng)網(wǎng)絡(luò)研究，從行為和大腦建模、學(xué)習(xí)算法，到數(shù)學(xué)和計(jì)算分析，再到大量使用神經(jīng)網(wǎng)絡(luò)概念和技術(shù)的系統(tǒng)的工程和技術(shù)應(yīng)用。這種獨(dú)特的廣泛范圍促進(jìn)了生物研究和技術(shù)研究之間的思想交流，并有助于促進(jìn)對(duì)生物啟發(fā)的計(jì)算智能感興趣的跨學(xué)科社區(qū)的發(fā)展。因此，《神經(jīng)網(wǎng)絡(luò)》的編輯委員會(huì)由心理學(xué)、神經(jīng)生物學(xué)、計(jì)算機(jī)科學(xué)、工程學(xué)、數(shù)學(xué)和物理學(xué)等領(lǐng)域的專家組成。該期刊發(fā)表文章、信件和評(píng)論，以及致編輯的信、社論、時(shí)事、軟件調(diào)查和專利信息。文章發(fā)表在五個(gè)部分之一：認(rèn)知科學(xué)、神經(jīng)科學(xué)、學(xué)習(xí)系統(tǒng)、數(shù)學(xué)和計(jì)算分析、工程和應(yīng)用。

Neural Networks創(chuàng)刊于1988年，由Elsevier Ltd出版商出版，收稿方向涵蓋工程技術(shù) - 計(jì)算機(jī)：人工智能全領(lǐng)域，在行業(yè)領(lǐng)域中學(xué)術(shù)影響力很大，屬于TOP期刊，國際一流期刊，關(guān)注度和專業(yè)度非常高，所以對(duì)原創(chuàng)文章要求創(chuàng)新性很高，過審難度很高，如果您有志于TOP期刊，建議關(guān)注此刊。平均審稿速度 約12.0個(gè)月 約10.5周，影響因子指數(shù)6，該期刊近期沒有被列入國際期刊預(yù)警名單，廣大學(xué)者值得一試。