人工智能二区期刊推荐

期刊目录网SCI期刊2023-08-26 11:26关注(1)

　　人工智能二区期刊推荐有哪些？越来越多的作者选择发表SCI期刊，要知道SCI期刊在国际上的影响力是比较大的，发表SCI论文要提前了解清楚期刊。SCI期刊是有分区划分的，每个分区的期刊发表难度是不同的，其中二区期刊属于比较权威的，对论文的要求自然也很高。接下来，详细的介绍一下。

　　1、ARTIFICIAL INTELLIGENCE

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：2区

　　期刊简介：The journal of Artificial Intelligence (AIJ), which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current research in this field. The journal welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to:

　　automated reasoning and inference,

　　cognition and AI,

　　cognition and AI,

　　case-based reasoning,

　　2、NEUROCOMPUTING

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：2区

　　期刊简介：Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.

　　3、APPLIED INTELLIGENCE

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：2区

　　期刊简介：With a focus on research in artificial intelligence and neural networks, this journal addresses issues involving solutions of real-life manufacturing, defense, management, government and industrial problems which are too complex to be solved through conventional approaches and require the simulation of intelligent thought processes, heuristics, applications of knowledge, and distributed and parallel processing. The integration of these multiple approaches in solving complex problems is of particular importance.

　　4、Cognitive Computation

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：2区

　　期刊简介：Cognitive Computation is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of natural and artificial cognitive systems. It provides a new platform for the dissemination of research, current practices and future trends in the emerging discipline of cognitive computation that bridges the gap between life sciences, social sciences, engineering, physical and mathematical sciences, and humanities.

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