Buscar
Mostrando ítems 1-10 de 173
Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression
(Elsevier Science Bv, 2016)
Linear Genetic Programming (LGP) is an Evolutionary Computation algorithm, inspired in the Genetic Programming (GP) algorithm. Instead of using the standard tree representation of GP, LGP evolves a linear program, which ...
A Magnus Wind Turbine Power Model Based on Direct Solutions Using the Blade Element Momentum Theory and Symbolic Regression
(IEEE, 2017)
A model of the power coefficient of a mid-scale Magnus wind turbine using numerical solutions of the Blade Element Momentum Theory and symbolic regression is presented. A direct method is proposed for solving the nonlinear ...
Symbol Digit Modalities Test: Normative data for Spanish-speaking pediatric population
(IOS Press, 2017)
OBJECTIVE: To generate normative data for the Symbol Digit Modalities Test (SDMT) in Spanish-speaking pediatric populations. METHOD: The sample consisted of 4,373 healthy children from nine countries in Latin America (Chile, ...
Strategies for reducing the size of the search space in semantic genetic programming
(Universidade Federal de Minas GeraisUFMG, 2018-03-12)
Genetic programming (GP) uses bio-inspired operations to find adequate solutions to a diverse range of problems, including symbolic regression. Recent works introduced semantic awareness into these operations, enhancing ...
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
(Elsevier Science Inc, 2011-09)
This paper proposes fuzzy symbolic modeling as a framework for intelligent data analysis and model interpretation in classification and regression problems. The fuzzy symbolic modeling approach is based on the eigenstructure ...
A Magnus Wind Turbine Power Model Based on Direct Solutions Using the Blade Element Momentum Theory and Symbolic Regression
(IEEE, 2017-01)
A model of the power coefficient of a mid-scale Magnus wind turbine using numerical solutions of the Blade Element Momentum Theory and symbolic regression is presented. A direct method is proposed for solving the nonlinear ...
On ab initio-based, free and closed-form expressions for gravitational waves
(Nature Publishing Group, 2021-03-12)
We introduce a new approach for fnding high accuracy, free and closed-form expressions for the gravitational waves emitted by binary black hole collisions from ab initio models. More precisely, our expressions are built ...
Operador de recombinação para programação genética baseado em regressão linear múltiplaRecombination Operator for Genetic Programming based on Multiple Linear Regression
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia Elétrica, 2019)
Quantitative electrophilicity measures
(Peking University Press, 2018)
Quantitative correlation of several theoretical electrophilicity measures over different families of organic compounds are examined relative to the experimental values of Mayr et al. Notably, the ability to predict these ...
Modelagem hipsométrica utilizando regressão simbólica e variável ambiental
(Universidade Federal de Minas GeraisBrasilICA - INSTITUTO DE CIÊNCIAS AGRÁRIASPrograma de Pós-Graduação em Ciências FlorestaisUFMG, 2021-03-29)
In planted forests, it is customary to measure the height of only a few trees in the plot and use the hypsometric relationship to estimate the remaining ones, thus reducing forest inventory costs. These estimates are usually ...