Neural Networks

Neural Networks英文簡介

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.

Neural Networks中文簡介

《Neural Networks》是一本由PERGAMON-ELSEVIER SCIENCE LTD出版商出版的專業(yè)工程技術(shù)期刊，該刊創(chuàng)刊于1988年，刊期Monthly，該刊已被國際權(quán)威數(shù)據(jù)庫SCI、SCIE收錄。在中科院最新升級版分區(qū)表中，該刊分區(qū)信息為大類學(xué)科：計算機(jī)科學(xué) 2區(qū)，小類學(xué)科：計算機(jī)：人工智能 2區(qū)；神經(jīng)科學(xué) 2區(qū)；在JCR（Journal Citation Reports）分區(qū)等級為Q1。該刊發(fā)文范圍涵蓋計算機(jī)：人工智能等領(lǐng)域，旨在及時、準(zhǔn)確、全面地報道國內(nèi)外計算機(jī)：人工智能工作者在該領(lǐng)域取得的最新研究成果、工作進(jìn)展及學(xué)術(shù)動態(tài)、技術(shù)革新等，促進(jìn)學(xué)術(shù)交流，鼓勵學(xué)術(shù)創(chuàng)新。2021年影響因子為9.657，平均審稿速度約12.0個月。

中科院分區(qū)最新升級版（當(dāng)前數(shù)據(jù)版本：2021年12月最新升級版）

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)	Top期刊	綜述期刊
計算機(jī)科學(xué)	2區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機(jī)：人工智能 NEUROSCIENCES 神經(jīng)科學(xué)	2區(qū) 2區(qū)	否	否

JCR分區(qū)（當(dāng)前數(shù)據(jù)版本：2021-2022年最新版）

JCR分區(qū)等級	JCR所屬學(xué)科	分區(qū)	影響因子
Q1	NEUROSCIENCES	Q1	9.657
	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	Q1

期刊指數(shù)

影響因子	h-index	Gold OA文章占比	研究類文章占比	OA開放訪問	平均審稿速度
9.657	128	10.17%	98.33%	未開放	約12.0個月

IF值(影響因子)趨勢圖