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

Generalized Regression Neural Network Modeling Based on Correlation Analysis and Its Application in Art Ceramic Price

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.

By extracting affecting factors of price of ceramic enterprises, and a gray corre- lation analysis method, the evaluation model of ceramic enterprise price is constructed, and through gray correlation of the various factors,key factors impacting on the price of ceramic are determined, combining the GRNN model,using the combination of the input vector, combination generalized regression neural network modeling is established. The examples show that result of the model is preciser than others,and the algorithm can be applied on other data and has widespread versatility.