Feedback GMDH-type neural network algorithm using prediction error criterion for self-organization

2008 ◽  
Author(s):  
Tadashi Kondo
Keyword(s):  
Neural Network ◽  
Prediction Error ◽  
Self Organization ◽  
Error Criterion ◽  
Network Algorithm ◽  
Neural Network Algorithm

Revised GMDH-Type Neural Networks Using AIC or PSS Criterion and Their Application to Medical Image Recognition

2005 ◽  
Vol 9 (3) ◽  
pp. 257-267 ◽  
Author(s):  
Tadashi Kondo ◽  
◽  
Junji Ueno ◽  
Kazuya Kondo ◽  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Image Recognition ◽  
Prediction Error ◽  
Medical Image ◽  
Group Method ◽  
Error Criterion ◽  
Network Algorithm ◽  
Medical Image Recognition ◽  
Neural Network Algorithm

This study deals with the revised Group Method of Data Handling (GMDH)-type neural network algorithm using prediction error criterion defined as Prediction Sum of Squares (PSS) or Akaike's Information Criterion (AIC). The revised GMDH-type neural network algorithm generates optimum multilayered neural network architectures fitting the complexity of nonlinear systems using heuristic self-organization. The revised GMDH-type neural networks self-select the number of layers, optimum neuronal architectures, and useful input variables to minimize prediction error criterion defined as PSS or AIC. This algorithm is applied to the identification problem of the nonlinear complex system and results are compared to those obtained by the revised GMDH algorithm and conventional multilayered neural networks. The revised GMDH-type neural network algorithm is also applied to medical image recognition and it is shown that this algorithm is useful for medical image recognition.

A NEURAL NETWORK ALGORITHM FOR DENSITY MEASUREMENT OF MULTIPHASE FLOW

2012 ◽  
Vol 24 (2) ◽  
pp. 89-103 ◽  
Author(s):  
Nabeel Al-Rawahi ◽  
Mahmoud Meribout ◽  
Ahmed Al-Naamany ◽  
Ali Al-Bimani ◽  
Adel Meribout
Keyword(s):  
Neural Network ◽  
Multiphase Flow ◽  
Density Measurement ◽  
Network Algorithm ◽  
Neural Network Algorithm
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