| 小波神经网络用于钼和钨的同时测定 |
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| 引用本文： | 刘伟 周伟良. 小波神经网络用于钼和钨的同时测定[J]. 分析化学, 1997, 25(10): 1189-1191 |
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| 作者姓名： | 刘伟 周伟良 |
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| 作者单位： | 中国科技大学应用化学系 |
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| 摘 要： | 介绍了小波神经网络的结构和算法，并首次用于混合试样中的钼和钨含量测定，在小波神经网络中，采用Ｍｏｒｌｅｔ母小波和一维搜索变步长共轭梯度优化方法，结果表明，小波神经网络优于ＢＰ网络，其预测含量的回收率在９６．０％～１０４．６％之间。
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| 关 键 词： | 小波神经网络 钼 钨 WNN |
Simultaneous Determination of Molybdemum and Tungsten Using Wavelet Neural Network |
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| Liu Wei,Wang Yongming,Pan Zhongxiao,Zhou Weiliang,Zhang Maosen. Simultaneous Determination of Molybdemum and Tungsten Using Wavelet Neural Network[J]. Chinese Journal of Analytical Chemistry, 1997, 25(10): 1189-1191 |
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| Authors: | Liu Wei Wang Yongming Pan Zhongxiao Zhou Weiliang Zhang Maosen |
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| Abstract: | The wavelet neural networks have been presented and first applied to simultane- ous determination of molybdenum and tungsten. Morlet mother wavelet and line search con- jugate gradient optimization method are used in the networks. The results show that the wavelet neural networks are better than BP networks, and the predicted recoveries of molyb- denum and tungsten are between 96.0% and 104. 6%. |
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| Keywords: | Wavelet neural network simultaneous determination molybdenum tungsten |
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