Nonlinear Dynamic Artificial Neural Network Modeling Using an Information Theory Based Experimental Design Approach

1998 ◽  
Vol 37 (9) ◽  
pp. 3640-3651 ◽  
Author(s):  
Jun-Shien Lin ◽  
Shi-Shang Jang
Keyword(s):  
Neural Network ◽  
Information Theory ◽  
Artificial Neural Network ◽  
Experimental Design ◽  
Nonlinear Dynamic ◽  
Network Modeling ◽  
Design Approach ◽  
Neural Network Modeling ◽  
Artificial Neural Network Modeling ◽  
Artificial Neural

Glossing over too much

1997 ◽  
Vol 20 (4) ◽  
pp. 692-692
Author(s):  
Gin McCollum
Keyword(s):  
Neural Network ◽  
Information Theory ◽  
Artificial Neural Network ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Artificial Neural Network Modeling ◽  
Artificial Neural

Although Phillips & Singer's proposal of commonalities seems sound, information theory and artificial neural network modeling omit important detail. An example is given of a distributed neural transformation that has been characterized mathematically and found to have both overall commonalities and differences of detail in different regions. P&S's contextual field is compared to inclusive regions in a formalism relevant for modeling bodily-kinaesthetic intelligence.

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