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好投的计算机SCI期刊有哪些

来源:SCI期刊网 分类:SCI论文发表 时间:2023-05-27 17:32 热度:

摘 要:好投的计算机SCI期刊有哪些呢? SCI期刊属于国际上比较权威的,对论文的要求也比较高,发表SCI论文之前要根据要求选择符合的刊物投稿。发表计算机类SCI论文,就要选择相关的期刊投稿,接

  好投的计算机SCI期刊有哪些呢?SCI期刊属于国际上比较权威的,对论文的要求也比较高,发表SCI论文之前要根据要求选择符合的刊物投稿。发表计算机类SCI论文,就要选择相关的期刊投稿,接下来,详细的推荐几本计算机SCI期刊,仅供参考。

好投的计算机SCI期刊有哪些

  1、AUTOMATICA

  学科领域:

  大类:计算机科学

  小类:自动化与控制系统

  中科院分区:2区

  期刊简介:Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.

  2、MACHINE LEARNING

  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:3区

  期刊简介:Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems, including but not limited to:

  Learning Problems: Classification, regression, recognition, and prediction; Problem solving and planning; Reasoning and inference; Data mining; Web mining; Scientific discovery; Information retrieval; Natural language processing; Design and diagnosis; Vision and speech perception; Robotics and control; Combinatorial optimization; Game playing; Industrial, financial, and scientific applications of all kinds.

  3、NEURAL NETWORKS

  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:1区

  期刊简介: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.

文章名称:好投的计算机SCI期刊有哪些

文章地址:http://www.sciqk.com/lwgl/scilw/14494.html

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