过度拟合
湿度计
校准
数据集
集合(抽象数据类型)
统计的
地质学
计算机科学
统计
数学
人工智能
气象学
物理
湿度
人工神经网络
程序设计语言
作者
Cristina Perinelli,Silvio Mollo,Mario Gaeta,Serena Pia De Cristofaro,Danilo M. Palladino,Pietro Armienti,Piergiorgio Scarlato,Keith Putirka
出处
期刊:American Mineralogist
[Mineralogical Society of America]
日期:2016-12-01
卷期号:101 (12): 2774-2777
被引量:69
摘要
We have refined the clinopyroxene-based hygrometer published by Armienti et al. (2013) for a better quantitative understanding of the role of H2O in the differentiation of Etnean magmas. The original calibration data set has been significantly improved by including several experimental clinopyroxene compositions that closely reproduce those found in natural Etnean products. To verify the accuracy of the model, some randomly selected experimental clinopyroxene compositions external to the calibration data set have been used as test data. Through a statistic algorithm based on the Mallows' CP criterion, we also check that all model parameters do not cause data overfitting, or systematic error.
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