基于支持向量机(SVM)的班克松人工林成熟材解剖性质的预测

Abstract

Abstract:

Wood qualities and properties were depended on the mature wood content. Determining the demarcation between juvenile and mature wood and predicting mature wood properties accurately play an important role on wood efficient utilization. In order to demarcate juvenile and mature wood of Pinus banksiana plantation and predict the anatomical properties of mature wood based on the anatomical properties of juvenile wood, support vector machines(SVM) was used. Results showed that the dividing point of juvenile and mature wood of Pinus banksiana plantation is 18^th years. The anatomical properties of mature wood were excellent with gently change than those of juvenile one. Mature wood prediction has low deviation, high correlation. The prediction curves can indicate the overall trend of anatomical properties, while have weak performance on catastrophe point and the following changing properties of the test set.

Key words: Pinus banksiana, anatomical properties, mature wood, prediction, support vector machines(SVM)

CLC Number:

S781

Zhang Yan, Song Kuiyan, Tong Da. Prediction of Mature Wood Anatomical Properties of Pinus banksiana Plantation Based on Support Vector Machines (SVM)[J]. Scientia Silvae Sinicae, 2013, 49(9): 119-125.

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Prediction of Mature Wood Anatomical Properties of Pinus banksiana Plantation Based on Support Vector Machines (SVM)

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