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Neural Processing Letters EI PubMed AJ SCIE JST 中科院4区 JCR:Q3
发文量 3,239
被引量 41,365
影响因子(2023) 3.289

Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Journal publishes technical articles on various aspects of artificial neural networks and machine learning systems. Coverage includes novel architectures, supervised and unsupervised learning algorithms, deep nets, learning theory, network dynamics, self-organization, optimization, biological neural network modelling, and hybrid neural/fuzzy logic/genetic systems. The Journal publishes articles on methodological innovations for the applications of the aforementioned systems in classification, pattern recognition, signal processing, image and video processing, robotics, control, autonomous vehicles, financial forecasting, big data analytics, and other multidisciplinary applications. Journal highlights: An international journal publishing state-of-the-art research results and innovative ideas on all aspects of artificial neural networks and machine learning Coverage includes theoretical developments, biological models, learning theory, applications, hardware implementation, and more Promotes timely exchange of information in the community of neural network researchers and users High degree of author satisfaction: 91% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

  • 主办单位： SPRINGER
  • 出版周期： 双月刊
  • 别名： 神经处理快报
  • 国际标准连续出版物号： ISSN 1370-4621
  • 创刊时间： 1994年
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