scholarly journals Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory

Author(s):  
Elaina Chai ◽  
Mert Pilanci ◽  
Boris Murmann
1987 ◽  
Vol 12 (4) ◽  
pp. 416-417 ◽  
Author(s):  
Maurice Bellanger

Automatica ◽  
1993 ◽  
Vol 29 (2) ◽  
pp. 567-568 ◽  
Author(s):  
Björn Wittenmark

2014 ◽  
Vol 556-562 ◽  
pp. 3722-3725
Author(s):  
Sheng Ping Zhang ◽  
Dong Ya Chen

This paper introduces an adaptive adjusting FIR filter’s parameters (LMS) method and presents a system recognition model based on the adaptive filter theory. The adaptive filter is directly with adjustable coefficient h (0),h (1),...h (N-1).The unknown system and FIR model have the same input sequence. The simulation result confirms the feasibility of the model.


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