摘要
选择灰色模型和三次样条插值相结合,对3个不同领域的非等时距数据样本进行了预测。结果表明,该算法能够较为准确地对非等时距样本进行预测,且简单易行,预测值精度高于文献算法。在工程实际中,该算法更加实用,并能够应用于多种工程领域。
A combination forecasting algorithm based on gray model and cubic spline interpolation was proposed.Using this method to predict the data samples from non-isochronous, they belong to three different fields. The results show that： the proposed algorithm can more accuratef-y predict the samples from non-equal interval, and simple, the accuracy of the predicted values are also higher than the literature. In the project, the proposed algorithm is more practical, and can be used in a variety of engineering fields.
出处
《湖北农业科学》
2015年第22期5729-5731,共3页
Hubei Agricultural Sciences
基金
国家自然科学基金项目(91230111
41301533)
宁夏自然科学基金项目(NZ14110)
关键词
非等时距
灰色模型
三次样条插值
模型精度
non-equal interval
gray model
cubic spline interpolation
accuracy of the model
