Inductive Sorting-out GMDH Algorithms with Polynomial Complexity for Active Neurons of Neural Network

Author

A. G. Ivakhnenko
Donald C. Wunsch, Missouri University of Science and TechnologyFollow
G.A. Ivakhnenko

Abstract

Inductive sorting-out group method of handling (GMDH) algorithms can be used in twice-multilayed neural networks as self-organizing neurons. The GMDH is a self-organizing approach based on sorting-out of gradually complicated models and their evaluation by external criterion on separate part of data sample. A threshold-type GMDH algorithm with polynomial complexity is developed to decrease computing time in case of large input data samples.

Recommended Citation

A. G. Ivakhnenko et al., "Inductive Sorting-out GMDH Algorithms with Polynomial Complexity for Active Neurons of Neural Network," Proceedings of the International Joint Conference on Neural Networks, vol. 2, pp. 1169 - 1173, Institute of Electrical and Electronics Engineers (IEEE), Jan 1999.

The definitive version is available at https://doi.org/10.1109/IJCNN.1999.831124

Meeting Name

International Joint Conference on Neural Networks (IJCNN'99) (1999: Jul. 10-16, Washington, DC)

Department(s)

Electrical and Computer Engineering

International Standard Serial Number (ISSN)

1098-7576

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 1999