Artificial Neural Network Classification of High Dimensional Data with Novel Optimization Approach of Dimension Reduction

2018 ◽  
Vol 5 (4) ◽  
pp. 615-635 ◽  
Author(s):  
Rabia Aziz ◽  
C. K. Verma ◽  
Namita Srivastava
Author(s):  
Xi Cheng ◽  
Clément Henry ◽  
Francesco P. Andriulli ◽  
Christian Person ◽  
Joe Wiart

This paper focuses on quantifying the uncertainty in the specific absorption rate values of the brain induced by the uncertain positions of the electroencephalography electrodes placed on the patient’s scalp. To avoid running a large number of simulations, an artificial neural network architecture for uncertainty quantification involving high-dimensional data is proposed in this paper. The proposed method is demonstrated to be an attractive alternative to conventional uncertainty quantification methods because of its considerable advantage in the computational expense and speed.


2012 ◽  
Vol 123 (3) ◽  
pp. 713-720 ◽  
Author(s):  
Matthew R. Hoffman ◽  
Jason D. Mielens ◽  
Taher I. Omari ◽  
Nathalie Rommel ◽  
Jack J. Jiang ◽  
...  

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