| 人工神经网络参数调整对生物光谱识别的影响 |
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| 引用本文： | 施伟杰,张铁强,郑咏梅. 人工神经网络参数调整对生物光谱识别的影响[J]. 光谱学与光谱分析, 2003, 23(3): 566-568 |
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| 作者姓名： | 施伟杰 张铁强 郑咏梅 |
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| 作者单位： | 吉林大学南岭校区物理数学中心,吉林,长春,130025 |
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| 基金项目： | 教育部高等学校骨干教师资助计划项目 (2 0 0 0 931 ) |
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| 摘 要： | 本文介绍了一种利用反向传播人工神经网络 (BP ANN)对生物可见光谱进行识别的方法。利用自组的光纤探头式光谱仪对苹果的疤痕和烂痕微区表面进行部分可见光范围 (5 0 0～ 730nm)的光谱测量 ,采用具有单隐层的BP ANN对光谱数据进行分析 ,以便对生物表面性质实现自动识别。本文着重就神经网络的输出值范围、训练方式、隐层数及不同程度的噪音信号等对神经网络识别精度的影响做了较为详尽的讨论。
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| 关 键 词： | 人工神经网络 光谱分析 生物 |
| 文章编号： | 1000-0593(2003)02-0566-03 |
| 修稿时间： | 2002-03-07 |
The Effect of Adjusting the ANN′s Parameters on the Identifing of Biology Spectrum |
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| SHI Wei-jie,ZHANG Tie-qiang and ZHENG Yong-mei Physics College Nanling Campus Jilin University,Changchun ,China. The Effect of Adjusting the ANN′s Parameters on the Identifing of Biology Spectrum[J]. Spectroscopy and Spectral Analysis, 2003, 23(3): 566-568 |
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| Authors: | SHI Wei-jie ZHANG Tie-qiang ZHENG Yong-mei Physics College Nanling Campus Jilin University Changchun China |
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| Affiliation: | Physics College, Nanling Campus, Jilin University, Changchun 130025, China. |
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| Abstract: | A method to identify the visible spectrum of micro areas on the biological surface with artificial neural net (BP-ANN) was introduced in this paper. The visible spectra (from 500 nm to 730 nm) of the micro areas with some rotten or scars on the surface of the apples were measured with fiber sensor spectrometer. A kind of ANN with a single hidden layer was created to identify the characters on the surface automatically. The effects of different ranges of output, different training functions, different number of single hidden layers, and different noise levels on the ANN were also studied. |
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| Keywords: | Artificial neural net Spectrum analysis Biology |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
