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Symbolic Regression Using Cartesian Genetic Programming
Symbolic regression is the problem of identifying the mathematical description of a hidden system from experimental data. Symbolic regression is closely related to general machine learning. This work deals with
IN - Informatika
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Genetic programming - symbolic regression.
Original scientific paper dealing with Genetic programming - symbolic regression.
BM - Fyzika pevných látek a magnetismus
- 1999 •
- D
Rok uplatnění
D - Stať ve sborníku
Multi-Gene Grammatical Evolution for Symbolic Regression
regression tasks, where other approaches often fail to produce good solutions. However, there are still issues with the performance of GP in symbolic regression tasks. Recentresearch has shown the power of utilizing linear...
JC - Počítačový hardware a software
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Effective Mapping of Grammatical Evolution to CUDA Hardware Model
Several papers have shown that symbolic regression is suitable for data successfully applied in solvingvarious tasks including symbolic regression. However symbolic regression. With respect to var...
IN - Informatika
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Synthesis of the neural networks by the means of the symbolic regression method
This work deals with a problem of synthesis of the artificial neural networks using the evolutional scanning method. The basic task to be solved is to create a symbolic regression algorithm on principles of analytic programming, whi...
IN - Informatika
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
Neural Network Synthesis by Means Of Analytic Programming - Preliminary Results
This contribution is introducing use of a novelty method, which allows solving various problems from symbolic regression domain. An idea of symbolic regression was firstly proposed by J. R. Koza in so called geneti...
JD - Využití počítačů, robotika a její aplikace
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Metaevolution with Analytic Programming
The chapter will explain the differences in the approach of the metaevolution. Metaevolution as well as evolution and symbolic regression are methods of artificial intelligence. The paper will discuss evolutionary techniques for opt...
JD - Využití počítačů, robotika a její aplikace
- 2012 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Evolutionary System to Model Structure and Parameters Regression
This paper discusses features of multilayered evolutionary system suitable to identify various systems including their model by symbolic regression. Improved sensitivity allows modelling of difficult systems as deterministic chaos o...
IN - Informatika
- 2012 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Hybrid symbolic regression with the Bison Seeker algorithm
This paper focuses on the use of the Bison Seeker Algorithm (BSA) in a hybrid genetic programming approach for the supervised machine learning method called symbolic regression. While the basic version of symbolic regre...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Enhanced Symbolic Regression Through Local Variable Transformations
Genetic programming (GP) is a technique widely used in a range of symbolic regression problems, in particular when there is no prior knowledge about the symbolic function sought. In this paper, we present a GP extension int...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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