Fuel volume measurement in aircraft using neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2001, Pages 687-692

  Zakrzewski, R R ^a  

^a BFGoodrich Aerospace   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT FUEL TANKS; CALCULATIONS; COMPUTER SIMULATION; ESTIMATION; FUEL GAGES; INTERPOLATION; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; ONE DIMENSIONAL; SENSORS; TABLE LOOKUP;

FUEL VOLUME MEASUREMENT; NONLINEAR TRANSFORMATION; SENSOR SIGNALS;

FEEDFORWARD NEURAL NETWORKS;

EID: 0034844581     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Training feedforward networks with the Marquardt algorithm
2. Multilayer feedforward networks are universal approximators
3. Verification of a trained neural network accuracy