Results 91 to 100 of about 6,391,262 (321)

Symbolic Regression for State Estimation of Lithium-Ion Battery

IEEE Access
Modeling lithium-ion batteries has been a challenging problem. One of the critical tasks among many is state estimation, as it enables researchers to design better battery management systems (BMS).
Anubhav Kamal, Shubham Sambhaji Patil, Sagar Bharathraj, Ankur Deshwal, Shashishekar P. Adiga   +4 more
doaj   +1 more source

Symbolic regression metamodel based multi-response optimization of EDM process [PDF]

FME Transactions, 2020
Electrical Discharge Machining (EDM) is a popular non-traditional machining process that is widely used due to its ability to machine hard and brittle materials. It does not require a cutting tool and can machine complex geometries easily.
Ghadai Ranjan Kumar, Kalita Kanak, Gao Xiao-Zhi   +2 more
doaj  

Rediscovering Hyperelasticity by Deep Symbolic Regression

Accurate hyperelastic material modeling of elastomers under multi‐axial loading still remains a research challenge. This work employs deep symbolic regression as an interpretable machine learning approach to discover novel strain energy functions ...
Abdusalamov, Rasul, Itskov, Mikhail
core   +1 more source

Effect of Cu and CuP Additions on the Microstructure and Nanoindentation‐Based Fracture Behavior of CoNiAlSi Ferromagnetic Shape Memory Alloys

Advanced Engineering Materials, EarlyView.
Cu and combined Cu–P microalloying refine the microstructure and enhance the nanoindentation‐derived fracture resistance of CoNiAlSi ferromagnetic shape memory alloys without suppressing the martensitic transformation. Comparative SEM, DSC, and nanoindentation results reveal that the CuP‐containing alloy provides the most balanced response, achieving ...
Mehmet Demir
wiley   +1 more source

Symbolic Modeling for financial asset pricing

Journal of Finance and Data Science
Symbolic Regression is a machine learning technique that discovers an unknown function from its samples. Compared to conventional regression techniques (e.g., linear regression, polynomial regression, etc.), Symbolic Regression does not limit the ...
Xiangwu Zuo, Anxiao (Andrew) Jiang
doaj   +1 more source

Meta-Modeling by Symbolic Regression and Pareto Simulated Annealing [PDF]

The subject of this paper is a new approach to Symbolic Regression.Other publications on Symbolic Regression use Genetic Programming.This paper describes an alternative method based on Pareto Simulated Annealing.Our method is based on linear regression ...
Teeuwen, G.J.A., Rennen, G., Stinstra, E.   +2 more
core  

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

A New Approximation for the Perimeter of an Ellipse

Algorithms
We consider the problem of approximating the perimeter of an ellipse, for which there is no known finite formula, in the context of high-precision performance.
Pablo Moscato, Andrew Ciezak
doaj   +1 more source

Symbolic Regression and Coevolution

, 2011
Symbolic regression is the problem of identifying the mathematic description of a hidden system from experimental data. Symbolic regression is closely related to general machine learning. This work deals with symbolic regression and its solution based on
Drahošová, Michaela
core   +1 more source

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source