Symformer: End-to-end symbolic regression using transformer-based architecture

M Vastl, J Kulhánek, J Kubalík, E Derner… - IEEE …, 2024 - ieeexplore.ieee.org
Many real-world systems can be naturally described by mathematical formulas. The task of
automatically constructing formulas to fit observed data is called symbolic regression …

A physics-based dimension reduction and modeling method for monitoring data and its application to tunnel engineering

M Ma, S Zhou, S Liu, Y Kang, Q Zhang - Automation in Construction, 2024 - Elsevier
The promotion of intelligent control of engineering equipment requires extracting vital
information from numerous original features in the monitoring data. Data-driven methods …

[HTML][HTML] Modeling the effect of temperature on ethanol fermentation using Saccharomyces cerevisiae CSI-1 by genetic programming

C Nolasco-Hipólito, O Carvajal-Zarrabal… - Journal of applied …, 2023 - scielo.org.mx
In this study, genetic programming (GP) was the systematic method used to identify the
structure and parameters of a mathematical model for ethanol fermentation. The …

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FH Wen, T Wu, WC Hsu - … , ICITL 2023, Porto, Portugal, August 28 …, 2023 - books.google.com
This study employed a quasi-experimental method to explore differences in students'
learning performance and engagement between visual and textual language programming …

Visualization of large-scale user-related feature data based on nonlinear dimensionality reduction method

X Wei, C Wang, B Tang, H Zhao - 3rd International Academic …, 2024 - atlantis-press.com
Powerful tools and technical support are needed to extract meaningful information from
massive data, understand the relationship between users and discover potential patterns. In …