Multilayer Perceptron

A Multilayer Perceptron is a feedforward artificial neural network that consists of multiple layers of interconnected neurons, distinguished by its use of nonlinear activation functions and supervised learning to model complex functional relationships between inputs and outputs.

10.6K

Publications

736.6K

Citations

28.9K

Authors

5.6K

Institutions

Publications per year

2017–2026

4.7K

Authors

28.9K

  1. AM
    Amir Mosavi

    Obuda University, Hungary

    26 publications · 1.5K citations

    22

    h-index

  2. MM
    M.T. Manry

    The University of Texas at Arlington, United States

    33 publications · 922 citations

    19

    h-index

  3. HM
    Hossein Moayedi

    Duy Tan University, Vietnam

    18 publications · 794 citations

    16

    h-index

  4. NR
    Nikhil R. Pal

    Indian Statistical Institute, India

    19 publications · 1.3K citations

    16

    h-index

  5. AB
    Andaç Batur Çolak

    Niğde Ömer Halisdemir Üniversitesi, Türkiye

    17 publications · 838 citations

    16

    h-index

1–5 of 28.9K

Venues

  1. IEEE Transactions on Neural Networks

    311 publications · 48.1K citations

    99

    h-index

  2. Neural Networks

    140 publications · 57.4K citations

    64

    h-index

  3. IEEE Access

    177 publications · 13.5K citations

    62

    h-index

  4. Neurocomputing

    131 publications · 12.7K citations

    46

    h-index

  5. arXiv (Cornell University)

    Repository · 191 publications · 15.7K citations

    45

    h-index

1–5