| 基于灰色模型和神经网络的服装流行色预测 |
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| 引用本文： | 许凡,王高媛,赵晶. 基于灰色模型和神经网络的服装流行色预测[J]. 纺织科技进展, 2013, 0(6): 64-66,70 |
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| 作者姓名： | 许凡 王高媛 赵晶 |
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| 作者单位： | 湖南工程学院纺织服装学院,湖南湘潭411100 |
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| 基金项目： | 湖南省教育厅资助项目（09C277）;湖南工程学院院级资助项目（0763） |
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| 摘 要： | 针对服装流行色变化规律不稳定和预测准确度不高的问题，首先利用灰色模型对原始数据序列进行预测，然后再利用人工神经网络对残差序列进行预测，最后将两个预测值合并作为预测结果。结果表明混合方法比单一的GM、ANN方法能获得更好的预测值。
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| 关 键 词： | 流行色预测 灰色模型 人工神经网络 实验比较 |
Forecasting of Fashion Color Trend Based on Grey Model and Artificial Neural Network |
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| XU Fan,WANG Gao-yuan,ZHAO Jing. Forecasting of Fashion Color Trend Based on Grey Model and Artificial Neural Network[J]. Progress in Textile Science & Technology, 2013, 0(6): 64-66,70 |
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| Authors: | XU Fan WANG Gao-yuan ZHAO Jing |
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| Affiliation: | (Textile and Fashion College, H unan Institute of Engineering, Xiangtan 411100, China) |
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| Abstract: | The original data sequence using grey model was predicted based on the irregular fashion color trend and low accuracy of forecasting. The residual error sequence was predicted by BP neural network. Finally two prediction values were combined as one prediction value. The experimental results showed that the hybrid method was better than the grey model and the BP neural network. |
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| Keywords: | color trend forecast grey model BP neural network experimental comparison |
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