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2016 | OriginalPaper | Buchkapitel

A New Method for Generating Nonlinear Correction Models of Dynamic Objects Based on Semantic Genetic Programming

verfasst von : Łukasz Bartczuk, Alexander I. Galushkin

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

The purpose of nonlinear correction modelling of dynamic object is to use an approximated linear model of an object and determine corrections of this model in an appropriate way, taking into account the specificity of modelled nonlinearity. In this paper a new method for generating the coefficients of correction matrices is proposed. This method uses a mathematical formulas determined automatically by the Gene Expression Programming algorithm extended by semantic operator.

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Vorheriges Kapitel An Idea of the Dynamic Signature Verification Based on a Hybrid Approach

Nächstes Kapitel A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming

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Titel: A New Method for Generating Nonlinear Correction Models of Dynamic Objects Based on Semantic Genetic Programming
verfasst von: Łukasz Bartczuk
Alexander I. Galushkin
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Soft Computing
Print ISBN: 978-3-319-39383-4

Electronic ISBN: 978-3-319-39384-1

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-39384-1_22

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