Title

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

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.

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.


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