神经网络在翡翠评估中的应用

基金项目:

国家高技术发展计划(863计划)(2008AA1212014)

详细信息

A Method of Jadeite Jade Appraisal Based on Neural Networks

1. School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China;
2. School of Earth Sciences and Engineering, Nanjing University, Nanjing 210093, China;
3. Sinomine Resource Exploration Co., ltd, Beijing 100089, China;
4. The Nanjing Institute of Geology and Mineral Resources, Nanjing 210016, China

摘要: 翡翠价格影响因子权重的确定方法使得其评估结果具有较强的主观性,神经网络则可以有效地排除主观因素的干扰。构造了一个多影响因子的翡翠评价3层BP网络模型,并对中国地质大学(武汉)学苑珠宝某商家的翡翠戒面样本进行了综合估价。通过该实例表明,应用神经网络评估翡翠的价格具有方便、真实、可靠的特点。
- 翡翠 /
- 评价 /
- 数学模型 /
- 人工神经网络 /
- 市场比较法价格修正
Abstract: It is quite subjective by the ordinary method to determine the weighting factor of the price for jadeite jade.However, the disturbance of the subjective factor could be effectively ruled out by the neural network method.A three-layered Back-Propagation network model being a multi-factor comprehensive evaluation of the price for jadeite jade is constructed.The prices of the jadeite jade samples from a jewelry shop of China University of Geosciences(Wuhan) have been evaluated comprehensively.The experimental results show that the appraisal for jadeite jade by the neural network method is convenient, true and calculable.
- jadeite jade /
- appraisal /
- mathematical model /
- artificial neural network /
- market comparison appraisal

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