The Method Research based on GA-ANN Garment Intelligent Selection
Qingyun Han, Yanmei Li, Fan Ju

Abstract
In daily life it is very necessary to help non-professional people select appropriate clothing material quickly. Artificial neural network model based on genetic algorithms can meet multi-objective optimization requirements which relate to the selection of factors of the clothing fabric and find the fitness function for genetic algorithm in order to establish intelligent selection system models the factors of fabric. In the case of choice of women's clothing fabric the women's clothing style, manner, price and season is the input layer. The fabric's raw materials, weaving methods, elements and tones are the output layer, which establish artificial neural network. Qualitative indicators of clothing selection translate to the value which the computer recognizes. Through the training of samples a new method of intelligent selection of clothing is developed. Then a new approach is provided for intelligent selection of clothing.

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