Inductive Sorting-out GMDH Algorithms with Polynomial Complexity for Active Neurons of Neural Network
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.
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 http://dx.doi.org/10.1109/IJCNN.1999.831124
International Joint Conference on Neural Networks (IJCNN'99) (1999: Jul. 10-16, Washington, DC)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.