Function approximation approach to anomaly detection in propulsion system test data

1995 ◽  
Vol 11 (5) ◽  
pp. 1074-1076 ◽  
Author(s):  
Bruce A. Whitehead ◽  
W. Andes Hoyt
Keyword(s):  
Anomaly Detection ◽  
Test Data ◽  
Function Approximation ◽  
Propulsion System ◽  
Approximation Approach

scholarly journals Function Approximation Approach to the Inference of Neural Network Models of Genetic Networks

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Vol 3 ◽  
pp. 153-163 ◽  
Author(s):  
Shuhei Kimura ◽  
Katsuki Sonoda ◽  
Soichiro Yamane ◽  
Koki Matsumura ◽  
Mariko Hatakeyama
Keyword(s):  
Neural Network ◽  
Function Approximation ◽  
Network Models ◽  
Genetic Networks ◽  
Neural Network Models ◽  
Approximation Approach

Test data for anomaly detection in the electricity infrastructure

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Vol 2 (4) ◽  
pp. 396 ◽  
Author(s):  
John Bigham ◽  
David Gamez ◽  
Xuan Jin ◽  
Chris Phillips
Keyword(s):  
Anomaly Detection ◽  
Test Data ◽  
Electricity Infrastructure

scholarly journals Function approximation approach to the inference of reduced NGnet models of genetic networks

2008 ◽  
Vol 9 (1) ◽  
Author(s):  
Shuhei Kimura ◽  
Katsuki Sonoda ◽  
Soichiro Yamane ◽  
Hideki Maeda ◽  
Koki Matsumura ◽  
...  
Keyword(s):  
Function Approximation ◽  
Genetic Networks ◽  
Approximation Approach

Space shuttle main propulsion system anomaly detection: A case study

2011 ◽  
Vol 26 (9) ◽  
pp. 4-13 ◽  
Author(s):  
Bryan L. Matthews ◽  
Ashok N. Srivastava ◽  
David Iverson ◽  
Bob Beil ◽  
Bill Lane
Keyword(s):  
Anomaly Detection ◽  
Space Shuttle ◽  
Propulsion System
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