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News/SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions
arxiv
PublishedJuly 22, 2026 at 4:00 AM
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SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions

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Publisher summary· verbatim

arXiv:2607.18290v1 Announce Type: cross Abstract: In recent years, Kolmogorov-Arnold Networks (KANs) have attracted increasing attention due to their effectiveness in machine learning and scientific computing tasks, offering a new paradigm for neural network design. In this paper, we present SechKAN

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Discussion
Mentioned models
02
  • 01
    SechKAN
  • 02
    Multilayer Perceptrons (MLPs)
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Read original ↗All from arxiv →
Tags
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#machine-learning#neural-networks#scientific-computing#benchmark

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Mentioned models
02
  • 01
    SechKAN
  • 02
    Multilayer Perceptrons (MLPs)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#neural-networks#scientific-computing#benchmark

Related coverage

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