DocumentCode :
2522280
Title :
The learning algorithms of the GMDH neural network and their application to the medical image recognition
Author :
Kondo, Tadashi
Author_Institution :
Sch. of Med. Sci., Tokushima Univ., Japan
fYear :
1998
fDate :
29-31 Jul 1998
Firstpage :
1109
Lastpage :
1114
Abstract :
In this paper, two types of the learning algorithms of the GMDH (group method of data handling) neural network are proposed. By using the heuristic self-organization method, the GMDH neural network can automatically organized the optimal neural network structure fit for the complexity of the nonlinear system. In the learning calculations, the neural network structure which is organized by the GMDH neural network is not changed and the values of the weights between the neurons are renewed. The GMDH neural network algorithm and its learning algorithms are applied to the medical image recognition
Keywords :
heuristic programming; image recognition; learning (artificial intelligence); medical image processing; optimisation; self-organising feature maps; GMDH neural network; heuristic self-organization method; learning algorithms; medical image recognition; optimal neural network; Biomedical imaging; Equations; Image recognition; Input variables; Logistics; Multi-layer neural network; Neural networks; Neurons; Nonlinear systems; Regression analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE '98. Proceedings of the 37th SICE Annual Conference. International Session Papers
Conference_Location :
Chiba
Type :
conf
DOI :
10.1109/SICE.1998.742987
Filename :
742987
Link To Document :
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