IEEE Transactions on Neural Networks and Learning Systems

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Journal Properties
  • Formerly known as
    IEEE Transactions on Neural Networks
  • Country
    United States
  • Language
    English
  • Number of Articles
    7,254
  • Abbreviation
    IEEE Trans Neural Netw Learn Syst
  • ISSN
    2162-237X
  • e-ISSN
    2162-2388
  • Main Publisher
    IEEE
  • Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
  • Indian UGC
  • DOAJ (latest)
Journal Properties
  • Science
    Mathematics
    Instruments and machines
    Electronic computers
    Computer science
    Technology
    Electrical engineering
    Electronics
    Nuclear engineering
    Electric apparatus and materials
    Electric circuits
    Electric networks
    Technology
    Electrical engineering
    Electronics
    Nuclear engineering
    Electronics
    Technology
    Electrical engineering
    Electronics
    Nuclear engineering
    Electronics
    Computer engineering
    Computer hardware
    Technology
    Mechanical engineering and machinery
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Description
The IEEE Transactions on Neural Networks and Learning Systems stands as a premier source for cutting-edge research in neural networks and machine learning. This scholarly publication delves into the theoretical foundations, algorithms, and applications driving advancements in artificial intelligence. Coverage includes deep learning, reinforcement learning, cognitive computing, and neuroinformatics. The journal publishes original research articles, reviews, and tutorials, offering a comprehensive view of the field. Key topics explored are neural network architectures, learning algorithms, optimization techniques, and their applications in pattern recognition, signal processing, and computer vision. Indexed in leading databases like Scopus and Web of Science, the journal caters to researchers, academics, and industry professionals focused on AI. Submit your latest research to contribute to this influential journal that shapes the future of intelligent systems and learning technologies. Its open-access options promote global knowledge dissemination and collaboration.