杉木微观结构与其品质特性关系模型的一类神经网络建模方法

doi:10.11707/j.1001-7488.20050423

Scientia Silvae Sinicae ›› 2005, Vol. 41 ›› Issue (4): 133-139.doi: 10.11707/j.1001-7488.20050423

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A Kind of NN Modeling Method of Relational Model of Chinese Fir Microstructure and Its Material Characteristic

Jiang Zehui¹,Jiang Xiaomei¹,Zhou Yucheng¹,An Yuan¹,Zhao Liang²,Jing Yuanwei²

1. Research Institute of Wood Industry, CAF Beijing100091; 2. Northeastern University Shenyang110004

Received:2004-12-10 Revised:1900-01-01 Online:2005-07-25 Published:2005-07-25

Abstract

Abstract:

This paper presented a kind of NN modeling method named Generalized Regression Neural Network (GRNN), through which the physical, mechanical properties of Chinese Fir could be obtained from its internal structure parameters. The implementation of this method could help find out the inherent relationship of Chinese Fir microstructure and physical, mechanical properties with desired approximation precision (above 96.3%).The result worked out here will provide strong scientific foundation and effective research approach when it comes to the research of wood quality and it’s forming mechanism, wood transgene and directive breeding.

Key words: Chinese Fir, microstructure, physical and mechanical properties, Generalized Regression Neural Network (GRNN), modeling method

Jiang Zehui;Jiang Xiaomei;Zhou Yucheng;An Yuan;Zhao Liang;Jing Yuanwei. A Kind of NN Modeling Method of Relational Model of Chinese Fir Microstructure and Its Material Characteristic[J]. Scientia Silvae Sinicae, 2005, 41(4): 133-139.

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A Kind of NN Modeling Method of Relational Model of Chinese Fir Microstructure and Its Material Characteristic

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