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Symbolic regression

Symbolic regression is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given… 
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Related topics

Related topics

8 relations
EureqaEvolutionary algorithmFitness functionGenetic programming

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Potential and limitations of D.E.A. as a bankruptcy prediction tool in the light of a study on Italian listed companies
This paper presents the results of an empirical study carried out on a sample of Italian firms listed on the Stock Exchange and… 
2015
2015
Variational Genetic Programming for Optimal Control System Synthesis of Mobile Robots
2015
2015
Energy cost forecasting for event venues
Electricity price, consumption, and demand forecasting has been a topic of research interest for a long time. The proliferation… 
2011
2011
Genetic Algorithm Based Improved Sub-Optimal Model Reduction in Nyquist Plane for Optimal Tuning Rule Extraction of PID and PIlambdaDi Controllers via Genetic Programming
Genetic Algorithm (GA) has been used in this paper for a new Nyquist based sub-optimal model reduction and optimal time domain… 
2011
2011
Dimensional analyses and surface quality of pulsed UV laser micro-machining of STAVAX stainless steel mold inserts
Laser micro-machining is a new, precise, and very flexible process in micro-mold manufacturing, especially for difficult to… 
2010
2010
An Efficient Selection Strategy for Digital Circuit Evolution
In this paper, we propose a new modification of Cartesian Genetic Programming (CGP) that enables to optimize digital circuits… 
2009
2009
Profiling Symbolic Regression-Classification
This chapter performance-profiles a composite method of symbolic regression-classification, combining standard genetic programming… 
2008
2008
Parallel hybrid evolutionary computation: Automatic tuning of parameters for parallel gene expression programming
2001
2001
An Adaptive Mapping for Developmental Genetic Programming
In this article we introduce a general framework for constructing an adaptive genotype-to-phenotype mapping, and apply it to… 
1987
1987
Directional Tracking of Regressiontype Model Parameters
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