Analysis of the stability of nonlinear regression models to errors in measured data
- 作者: Rudoy G.I.1
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隶属关系:
- Moscow Institute of Physics and Technology (State University)
- 期: 卷 26, 编号 3 (2016)
- 页面: 608-616
- 栏目: Applied Problems
- URL: https://bakhtiniada.ru/1054-6618/article/view/194866
- DOI: https://doi.org/10.1134/S1054661816030172
- ID: 194866
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详细
In order to reconstruct a nonlinear dependence of the refractive index of a medium on the wavelength, a set of inductively generated models for choosing the optimal one is considered. An algorithm for the inductive generation of admissible nonlinear models is applied. A criterion for determining the error in the coefficients of the generated models, which is referred to as stability, and a method for estimating the stability of the solution are proposed. The results of numerical simulation on the data obtained in an experiment on determining the composition of a mixture from its total dispersion are presented.
作者简介
G. Rudoy
Moscow Institute of Physics and Technology (State University)
编辑信件的主要联系方式.
Email: igor.rudoy@gail.com
俄罗斯联邦, Institutskii per. 9, Dolgoprudny, Moscow oblast, 141700
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