基于关联分析广义回归神经网络模型在艺术陶瓷定价中的应用

发布时间：2019-01-15 20:39

【摘要】：通过提取对陶瓷企业定价的影响因素,采用了灰色关联度分析法,构造了陶瓷企业定价的评价模型,得到了各个因素之间的灰色关联度,从而确定各因素对陶瓷企业定价影响的关键因素,结合广义回归神经网络模型,采用组合输入向量建立陶瓷定价的组合广义回归神经网络预测模型.实例表明:模型比其它模型的预测值更加精确,并且算法能应用到其它数据处理中,具有较广泛的适应性.
[Abstract]:By extracting the influencing factors on the pricing of ceramic enterprises and adopting the grey relational degree analysis method, the evaluation model of the pricing of ceramic enterprises is constructed, and the grey correlation degree among the various factors is obtained. Therefore, the key factors affecting the pricing of ceramic enterprises are determined. Combined with the generalized regression neural network model, the combined input vector is used to establish the combined generalized regression neural network prediction model for ceramic pricing. Examples show that the model is more accurate than other models, and the algorithm can be applied to other data processing, and has a wide range of adaptability.
【作者单位】：景德镇陶瓷学院信息工程学院;
【基金】：国家自然科学基金(61262038,61202313) 2013教育部人文社科基金(13YJA760064) 江西省自然科学基金(20122BAB201016,20122BAB211033) 2013景德镇市科研项目
【分类号】：F224;J527-F

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