Results 81 to 90 of about 6,391,262 (321)
Class Symbolic Regression: Gotta Fit ’Em All
The Astrophysical Journal LettersWe introduce “Class Symbolic Regression” (Class SR), the first framework for automatically finding a single analytical functional form that accurately fits multiple data sets—each realization being governed by its own (possibly) unique set of fitting ...
Wassim Tenachi +3 more
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Symbolic Regression on FPGAs for Fast Machine Learning Inference [PDF]
EPJ Web of ConferencesThe high-energy physics community is investigating the potential of deploying machine-learning-based solutions on Field-Programmable Gate Arrays (FPGAs) to enhance physics sensitivity while still meeting data processing time constraints.
Tsoi Ho Fung +9 more
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Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
salmon: A Symbolic Linear Regression Package for Python
Journal of Statistical SoftwareOne of the most attractive features of R is its linear modeling capabilities. We describe a Python package, salmon, that brings the best of R's linear modeling functionality to Python in a Pythonic way - by providing composable objects for specifying ...
Alex Boyd, Dennis L. Sun
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Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Symbolic regression for defect interactions in 2D materials
Materials & DesignMachine learning models have become firmly established across all scientific fields. Extracting features from data and making inferences based on them with neural network models often yields high accuracy; however, this approach has several drawbacks ...
Mikhail Lazarev, Andrey Ustyuzhanin
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Elite bases regression: A real-time algorithm for symbolic regression
, 2017 Symbolic regression is an important but challenging research topic in data mining. It can detect the underlying mathematical models. Genetic programming (GP) is one of the most popular methods for symbolic regression. However, its convergence speed might
姜宗林, 陈辰, 罗长童
core +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Advanced Engineering Materials, EarlyView.Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Elastic Properties and Thermal Expansion Behavior of a Polycrystalline VMnFeCoNi High‐Entropy Alloy
Advanced Engineering Materials, EarlyView.The high‐entropy alloy (HEA) V20Mn20Fe20Co20Ni20 (composition in at.%) can be made single‐phase face‐centered cubic (FCC) when annealed above 1338 K followed by water quenching. In this state, the alloy exhibits the greatest strength‐ductility combination of any quinary single‐phase FCC HEA.
Guillaume Laplanche +3 more
wiley +1 more source
Accelerating graph-based tracking tasks with symbolic regression
Machine Learning: Science and TechnologyThe reconstruction of particle tracks from hits in tracking detectors is a computationally intensive task due to the large combinatorics of detector signals.
Nathalie Soybelman +3 more
doaj +1 more source