IEEE - Institute of Electrical and Electronics Engineers, Inc. - A method of predicting demand for aircraft follow-up spare based on discrete particle swarm optimization algorithm and RBF neural network

2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

Author(s): Dongdong Li ; Boping Xiao ; Haiping Huang ; Aoqing Wang
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2016
Conference Location: Bali, Indonesia
Conference Date: 4 December 2016
Page(s): 1,488 - 1,492
ISBN (Electronic): 978-1-5090-3665-3
ISBN (USB): 978-1-5090-3664-6
ISSN (Electronic): 2157-362X
DOI: 10.1109/IEEM.2016.7798125
Regular:

The traditional method to predict the demand of aircraft follow-up spare has some problems including being short of adapting to the noise data. It leads to local optimum easily and low accuracy of... View More

Advertisement