An Algorithm Based on Wavelet Neural Network for Garment Size Selection
Abstract: Size fitting problem
is a main obstacle to large scale online garment sales.It is the difficult to customers
to find the fit garments when they couldn’t try on. In this paper, we present
an algorithm base on wavelet neural network to help customer choosing their
clothing specifications automatically. After thereasonable wavelet function is
selected, we established the model structure and the initial parameters. The wavelet
neural network is trained by the body measures and the result of AHP algorithm
after normalization. The new data are used to test the network. As a result,
the error from wavelet neural network is smaller, and the prediction accuracy
is proved than that from the algorithm based on traditional BP network.
Keywords: Wavelet neural
network, wavelet transform, Garment size selection, matching algorithm, Fit garment
matching
Author: Luo Ronglei
Journal Code: jptkomputergg140132
