DocumentCode :
1809516
Title :
Inductive sorting-out GMDH algorithms with polynomial complexity for active neurons of neural network
Author :
Ivakhnenko, A.G. ; Wunsch, D. ; Ivakhnenko, G.A.
Author_Institution :
Cybern. Center, Acad. of Sci., Kiev, Ukraine
Volume :
2
fYear :
1999
fDate :
36342
Firstpage :
1169
Abstract :
Neural networks with active neurons which self-organize their structure can use inductive sorting-out GMDH algorithms for their neurons. New threshold type GMDH algorithm with polynomial complexity is developed to decrease computing time in case of large input data sample
Keywords :
computational complexity; feedforward neural nets; identification; self-organising feature maps; sorting; GMDH algorithms; active neurons; group method of data handling; inductive sorting; multilayer neural network; polynomial complexity; self-organization; Clustering algorithms; Data handling; Data preprocessing; Input variables; Meteorology; Neural networks; Neurons; Pattern recognition; Polynomials; Sorting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-5529-6
Type :
conf
DOI :
10.1109/IJCNN.1999.831124
Filename :
831124
Link To Document :
بازگشت