Discovering causal relations and equations from data
Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …
questions about why natural phenomena occur and to make testable models that explain the …
Comparative analysis of two machine learning algorithms in predicting site-level net ecosystem exchange in major biomes
The net ecosystem CO2 exchange (NEE) is a critical parameter for quantifying terrestrial
ecosystems and their contributions to the ongoing climate change. The accumulation of …
ecosystems and their contributions to the ongoing climate change. The accumulation of …
Symbolic regression via neural networks
Identifying governing equations for a dynamical system is a topic of critical interest across an
array of disciplines, from mathematics to engineering to biology. Machine learning …
array of disciplines, from mathematics to engineering to biology. Machine learning …
Machine learning control—Explainable and analyzable methods
Recently, the term explainable AI came into discussion as an approach to produce models
from artificial intelligence which allow interpretation. For a long time, symbolic regression …
from artificial intelligence which allow interpretation. For a long time, symbolic regression …
A generalized benders decomposition-based global optimization approach to symbolic regression for explicit surrogate modeling from limited data information
Abstract Solving noncovex Disjunctive Programming (DP) problems for representing
symbolic regression trees to build explicit surrogate models from limited data information is …
symbolic regression trees to build explicit surrogate models from limited data information is …
Open-and closed-loop control investigations of unsteady Coanda actuation on a high-lift configuration
Y El Sayed M, P Oswald, S Sattler, P Kumar… - 2018 Flow Control …, 2018 - arc.aiaa.org
The present study investigates the lift gains and losses generated by the superposition of a
periodic spanwise-synchronous and spanwise-varied actuation component onto a steady …
periodic spanwise-synchronous and spanwise-varied actuation component onto a steady …
On ab initio-based, free and closed-form expressions for gravitational waves
We introduce a new approach for finding high accuracy, free and closed-form expressions
for the gravitational waves emitted by binary black hole collisions from ab initio models …
for the gravitational waves emitted by binary black hole collisions from ab initio models …
Open-and closed loop control on a D-shaped bluff body equipped with Coanda actuation
The present study investigates drag reductions and efficiency increases by open-and
closedloop Coanda actuation on a D-shaped bluff body. Open-loop measurements are …
closedloop Coanda actuation on a D-shaped bluff body. Open-loop measurements are …
Symbolic regression for identification, prediction, and control of dynamical systems
M Quade - 2018 - publishup.uni-potsdam.de
In the present work, we use symbolic regression for automated modeling of dynamical
systems. Symbolic regression is a powerful and general method suitable for data-driven …
systems. Symbolic regression is a powerful and general method suitable for data-driven …
Even Dispersion Design for a Compact Linear Loudspeaker Array with Adaptive Genetic Algorithm
J Cai, Y Pang, H Wang, Y Wang - Applied Sciences, 2019 - mdpi.com
Even dispersion is important for live sound reinforcement systems; however, it needs to be
carefully designed when using a linear loudspeaker array. This is because the audience …
carefully designed when using a linear loudspeaker array. This is because the audience …