28th Congress of the International Council of the Aeronautical Sciences, 23 - 28 September 2012, Brisbane, Australia
Paper ICAS 2012-7.11.2
RESEARCH ON ESTIMATING METHOD OF FUEL AND EMISSIONS USING NEURAL NETWORKS IN LTO CYCLE FOR PRELIMINARY AIRCRAFT DESIGN
Y. Dong, J. Ai
Fudan Univ., China
Keywords: fuel and emissions estimation, neural networks, lto cycle, preliminary design
This paper introduces a method using Neural Networks to estimate the fuel use and emissions in the Landing/Take-off Cycle, during the preliminary stage of aircraft design. BP and GRNN net are separately trained to establish the model; test results show that both nets have respective advantages for the estimating.
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