| 基于神经网络和颜色特征对木材进行分级的分析 |
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| 引用本文： | 戴天虹,王克奇,白雪冰,陈立君,谢永华. 基于神经网络和颜色特征对木材进行分级的分析[J]. 森林工程, 2006, 22(1): 18-20 |
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| 作者姓名： | 戴天虹 王克奇 白雪冰 陈立君 谢永华 |
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| 作者单位： | 东北林业大学,哈尔滨,150040 |
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| 基金项目： | 国家自然科学基金;黑龙江省哈尔滨市自然科学基金 |
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| 摘 要： | 为了解决木材的分级问题，提出了利用神经网络和木材表面颜色特征对木材进行分级的方法。利用竞争神经网络对114种不同树种进行粗分，然后再用BP神经网络算法对此进行验证，又对四种木材进行分类验证。从计算机分类分级仿真效果上看，达到了预期的目的。
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| 关 键 词： | 神经网络 BP神经网络算法 颜色 颜色矩 |
| 文章编号： | 1001-006X(2006)01-0018-03 |
| 收稿时间： | 2005-06-01 |
| 修稿时间： | 2005-06-01 |
Analysis of Wood Classification Based on Neural Network and Color Features |
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| Dai Tianhong,Wang Keqi,Bai Xuebing,Chen Lijun,Xie Yonghua. Analysis of Wood Classification Based on Neural Network and Color Features[J]. Forest Engineering, 2006, 22(1): 18-20 |
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| Authors: | Dai Tianhong Wang Keqi Bai Xuebing Chen Lijun Xie Yonghua |
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| Affiliation: | Northeast Forestry University, Harbin 150040 |
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| Abstract: | In order to solve the problem of grading the timber, the authors have put forward a kind of classification method by utilizing neural network and wood surface color characteristics, The competitive neural network was used to divide thickly 114 kinds of different species of trees and then BP neural networks algorithm was applied to exemplify the resuits. And four kinds of timber were further classified. From the results of classifying and grading simulation on computer, the anticipated goal was achieved. |
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| Keywords: | neural network Back Propagation Algorithms color color matrix |
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