IEEE - Institute of Electrical and Electronics Engineers, Inc. - Modeling and forecasting of urban logistics demand based on wavelet neural network

2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Author(s): Meijuan Gao ; Qian Feng ; Jingwen Tian
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2009
Conference Location: Xian, China, China
Conference Date: 25 May 2009
Page(s): 3,709 - 3,713
ISBN (CD): 978-1-4244-2800-7
ISBN (Paper): 978-1-4244-2799-4
DOI: 10.1109/ICIEA.2009.5138895
Regular:

Because logistics system was an uncertain, nonlinear, dynamic and complicated system, it was difficult to describe it by traditional methods. The wavelet neural network (WNN) has the advantages of... View More

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