摘要
用近红外光谱数据建立了相思树制浆得率的预测模型:将近红外光谱数据按波长进行分组,然后使用拟合方法建立了10个子数学模型,最后通过计算子模型制浆得率预测值的加权平均值给出了预测制浆得率的公式。预测结果表明,用近红外光谱数据建立的预测模型可用于快速估算相思树的制浆得率,其建模方法有望用于其他速生纸浆材制浆得率的预测。
The prediction model of pulp yield of acacia was built by using near infrared spectroscopy data.The spectrum data were divided into groups according to their wavelengths.Then,ten sub mathematical models were built using the fitting method.At last,the equation of prediction of pulp yield was given by calculating the weighted mean value of the predicted values of pulp yield of sub models.The result of prediction shows that the prediction model constructed by near infrared spectroscopy data can be used to estimate pulp yield of acacia rapidly.It is possible that the method of modeling in the paper can be used to predict pulp yield of other kind of fast-growing pulpwood.
出处
《林业科技》
2011年第2期48-50,共3页
Forestry Science & Technology
基金
国家科技支撑计划项目(2006BAD32B03-5)
关键词
近红外光谱
数学模型
相思树
Near infrared spectroscopy
Mathematical model
Acacia
