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Symbolic Regression

Symbolic Regression

Hardcover

DatabasesGeneral ComputersProgramming

ISBN10: 113805481X
ISBN13: 9781138054813
Publisher: CRC Press
Published: Aug 16 2024
Pages: 308
Weight: 1.34
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English

Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the relationship between the predictors and the dependent variable without the need of taking assumptions about the model structure. Currently, the most prevalent learning algorithms for SR are based on genetic programming (GP), an evolutionary algorithm inspired from the well-known principles of natural selection. This book is an in-depth guide to GP for SR, discussing its advanced techniques, as well as examples of applications in science and engineering.

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Kronberger, Gabriel

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Programming