Title
GMDH-type neural network algorithm with a feedback loop for structural identification of RBF neural network
Abstract
In this paper, a Group Method of Data Handling (GMDH)-type neural network algorithm with a feedback loop for structural identification of Radial Basis Function (RBF) neural network is proposed. In case of the GMDH-type neural network, the network architecture is automatically organized by heuristic self-organization. Optimum architecture is evolved using one of the criterions, defined as Akaike's Information Criterion (AIC) or Prediction Sum of Squares (PSS), for minimizing the prediction error. In the conventional multilayered neural network, prediction error criteria defined as AIC and PSS cannot be used to determine the neural network architecture. In case of the GMDH-type neural network proposed in this paper, structural parameters such as the number of neurons, relevant input variables and the number of feedback loop calculations are automatically determined so as to minimize AIC or PSS. Furthermore, the GMDH-type neural network can identify RBF neural network accurately, since the complexity of the neural network is increased gradually by feedback loop calculations.
Year
DOI
Venue
2007
10.3233/KES-2007-11302
KES Journal
Keywords
Field
DocType
rbf neural network,structural identification,type neural network algorithm,gmdh-type neural network,optimum architecture,neural network,feedback loop calculation,network architecture,conventional multilayered neural network,feedback loop,gmdh-type neural network algorithm,neural network architecture,aic
Feedforward neural network,Pattern recognition,Computer science,Stochastic neural network,Network architecture,Recurrent neural network,Probabilistic neural network,Time delay neural network,Artificial intelligence,Artificial neural network,Group method of data handling,Machine learning
Journal
Volume
Issue
ISSN
11
3
1327-2314
Citations 
PageRank 
References 
2
0.50
1
Authors
3
Name
Order
Citations
PageRank
Tadashi Kondo120.50
Abhijit S. Pandya210822.91
Hirofumi Nagashino367.07