| 应用人工神经网络方法预测M-EDTA配位稳定常数 |
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| 引用本文： | 查慧领,杨林. 应用人工神经网络方法预测M-EDTA配位稳定常数[J]. 青海师范大学学报(自然科学版), 2006, 0(3): 77-79 |
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| 作者姓名： | 查慧领 杨林 |
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| 作者单位： | 青海卫生职业技术学院,青海,西宁,810000;青海师范大学化学系,青海,西宁,810008 |
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| 摘 要： | 应用人工神经网络法预测金属离子的M-EDTA配位稳定常数,并通过计算54种金属离子的M-EDTA配位稳定常数,确定了金属离子的基本参数与M-EDTA配位稳定常数的定量关系.通过对网络结构和参数的优化,提高了预报的准确度.
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| 关 键 词： | 人工神经网络 预测 配位稳定常数 |
| 文章编号： | 1001-7542（2006）03-0077-03 |
| 收稿时间： | 2006-03-20 |
| 修稿时间： | 2006-03-20 |
Application Study on Applying BP Neural Network Numerical Predicting M-EDTA Coordinate Stability |
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| CHA Hui-ling,YANG Lin. Application Study on Applying BP Neural Network Numerical Predicting M-EDTA Coordinate Stability[J]. Journal of Qinghai Normal University(Natural Science Edition), 2006, 0(3): 77-79 |
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| Authors: | CHA Hui-ling YANG Lin |
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| Affiliation: | 1. Qinghal College of Medical Occupation and Technology,Xining 810000, China; 2. Department of Chemistry, Qinghai Normal University, Xining 810008, China |
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| Abstract: | Application Study on Applying Artificial Neural Network(ANN) Predicting M-EDTA coordinate stability and pass to compute 54 kinds of metals on the M-EDTA for coordinate stability constant the basic parameter make suring the metal ion the fixed amount relation for stabilizing the constant.Pass to the optimize that the network construction count with the parameter and increased the accurate degree that Predicting. |
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| Keywords: | artificial neural network predicting coordinate stability |
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