article

Problems of future GMDH algorithms development

Authors:

A. G. Ivakhnenko,

E. A. Savchenko,

G. A. IvakhnenkoAuthors Info & Claims

Systems Analysis Modelling Simulation, Volume 43, Issue 10

Pages 1301 - 1309

https://doi.org/10.1080/0232929032000115029

Published: 01 October 2003 Publication History

Abstract

Theories and algorithms developed for pattern recognition can be applied to random processes forecasting and for solution of all another interpolation type problems of artificial intelligence. For this purpose input data sample in the form of time series should be transformed into simultaneous form according to rules of Gauss conditional equations complication. Examples of algorithms used in pattern recognition are considered. Particularly is considered algorithm of secondary arguments generation. It is proposed to use error of modelling as effective secondary argument in special twice-multilayered neural network. Another GMDH network is considered as inductive analogue of Kalman type noise filter and as network, which interpolates non-linear objects characteristics.

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Cited By

Deng CXue X(2024)Hybrid particle swarm optimization and group method of data handling for the prediction of ultimate strength of concrete-filled steel tube columnsAdvances in Engineering Software10.1016/j.advengsoft.2024.103708195:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.advengsoft.2024.103708
Deng CXue XTao L(2024)Prediction of ultimate bearing capacity of concrete filled steel tube stub columns via machine learningSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09343-x28:7-8(5953-5967)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s00500-023-09343-x

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Published In

cover image Systems Analysis Modelling Simulation

Systems Analysis Modelling Simulation Volume 43, Issue 10

Special issue: Self-organising modelling and simulation

October 2003

140 pages

ISSN:0232-9298

Issue’s Table of Contents

Publisher

Gordon and Breach Science Publishers, Inc.

United States

Publication History

Published: 01 October 2003

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Cited By

Deng CXue X(2024)Hybrid particle swarm optimization and group method of data handling for the prediction of ultimate strength of concrete-filled steel tube columnsAdvances in Engineering Software10.1016/j.advengsoft.2024.103708195:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.advengsoft.2024.103708
Deng CXue XTao L(2024)Prediction of ultimate bearing capacity of concrete filled steel tube stub columns via machine learningSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09343-x28:7-8(5953-5967)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s00500-023-09343-x

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