共被期刊论文引用了4次
您的检索式：您选中1篇文献正在查看引证文献汇总
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 红外光谱与高-木关野系统结合鉴别大黄的研究显示文摘高木-关野模糊系统是基于若干反向传播神经网络(BP ANN)组成的,它具有一些模糊逻辑特性。文章利用红外光谱与高木关野模糊系统相结合鉴别5 2种大黄样品。并对神经网络的隐含层个数和动量因子的影响作了讨论。结果表明,用高木 关野模糊系统得到的结果比通常用的BP网络要好。选用适当的网络训练参数,正确率可达到10 0 %。该方法比常规方法更准确,比民间传统方法更具科学性,因此是鉴别大黄的一种快速、简便的方法。 | 汤彦丰 张卓勇 范国强 | 2005 | 光谱学与光谱分析2005，25，4： | 13 |
| 2 | 径向基函数网络用于细菌的MALDI-TOF-MS分类显示文摘径向基函数(RBF)网络被用于根据基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF-MS)对细菌的分类辨识。为了加速网络训练和减少网络的复杂性,本文采用小波变换对原始质谱数据进行压缩,将原来的13828个数据点压缩至328个,且保持了原来的特征谱峰。本文研究了在不同培养时间(24、48和72小时)的5种细菌分类,并对RBF网络参数的影响做了详细地研究,为生物学研究提供了有用的信息。结果表明,约60%以上的细菌样本能够被正确地分类辨识。由于细菌培养的生物学影响因素复杂,因而进一步严格控制细菌的培养条件是改善细菌分类正确率的关键。 | 张卓勇 王丹 Peter de B.Harrington Kent J.Voorhees Jon Rees | 2002 | 计算机与应用化学2002，19，1： | 3 |
| 3 | 温度限制串联相关网络-近红外光谱法用于药物甲硝唑的质量控制显示文摘Temperature-constrained cascade correlation networks(TCCCNs) were applied to the identification of the powder pharmaceutical samples of metronidazole based on near infrared(NIR) diffuse reflectance spectra. This work focused on the comparison of performances of the uni-output TCCCN(Uni-TCCCN) to multi-output TCCCN(Multi-TCCCN) by using near infrared diffuse reflectance spectra of metronidazole. The TCCCN models were verified with independent prediction samples by using the 'cross-validation' method. The networks were used to discriminate qualified, un-qualified and counterfeit metronidazole pharmaceutical powders. The results showed that multiple outputs network generally worked better than the single output networks. With proper network parameters the pharmaceutical powders can be classified at a rate of 100% in this work. Also, the effects of neural network parameters including number of candidate nodes, type of transfer functions(linear, sigmoid functions and temperature-constrained sigmoid function, respectively) on classification were discussed. | 崔秀君 张卓勇 Peterde B Harrington 任玉林 | 2004 | 高等学校化学学报2004，25，7： | 2 |
| 4 | Radial Basis Function Networks Applied in Bacterial Classification Based on MALDI-TOF-MS显示文摘The radial basis function networks were applied to bacterial classification based on the matrix-assisted laser desorption/ionization time-of-flight mass spectrometric (MALDI-TOF-MS) data. The classification of bacteria cultured at different time was discussed and the effect of the network parameters on the classification was investigated. The cross-validation method was used to test the trained networks. The correctness of the classification of different bacteria investigated changes in a wide range from 61.5% to 92.8%. Owing to the complexity of biological effects in bacterial growth, the more rigid control of bacterial culture conditions seems to be a critical factor for improving the rate of correctness for bacterial classification. | HARRINGTON Peter de B. VOORHEES Kent J. REES Jon | 2002 | Chemical Research in Chinese Universities2002，18，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员