| N（2）—乙酰基—9—[（2—乙酰氧乙氧基）甲基]鸟嘌呤的制备工艺条件的研究 |
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| 引用本文： | 罗晓燕. N（2）—乙酰基—9—[（2—乙酰氧乙氧基）甲基]鸟嘌呤的制备工艺条件的研究[J]. 计算机与应用化学, 2001, 18(3): 214-216,279 |
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| 作者姓名： | 罗晓燕 |
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| 作者单位： | 武汉化学工程学院制药系,武汉430074 |
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| 摘 要： | 人工神经网络由于其具有较好的自组织，自学习，多输入，多输出的能力，在预测方面已取得了广泛应用，本文将BP人工神经网络应用于N（2）－乙酰基－9－[2(2-乙酰氧乙氧基）甲基鸟嘌令的制备工艺条件快速 准确地确定工艺影响参数及其范围的问题。
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| 关 键 词： | BP神经网络 工艺条件 N（2）－乙酰基－9－[（2－乙酰氧乙氧基）甲基]鸟嘌呤 应用 抗病毒药 阿昔洛韦 中间体 |
| 文章编号： | 1001-4160(2001)03-214-219 |
Study on the Process Condition of N(2)-Acetyl-9-[(2-acetoxylethoxyl)methyl]guanine Preparation |
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| LUO Xiao yan. Study on the Process Condition of N(2)-Acetyl-9-[(2-acetoxylethoxyl)methyl]guanine Preparation[J]. Computers and Applied Chemistry, 2001, 18(3): 214-216,279 |
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| Authors: | LUO Xiao yan |
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| Abstract: | Artificial neural network was used widely because of its self organizing and self learning,much input and much output ability.In this paper, a kind of BP ANN was designed to study on the process condition of N(2) acetyl 9 [(2 acetoxylethoxyl)methyl]guanine preparation. The reflective relationship between the process effective factors and yield was obtained, which was used to obtain the yield according to stochastic parameters of process in order to determine what were the process effective factors and what were their ranges required by the uniform design rapidly and exactly. |
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| Keywords: | Back propagation neural network Process condition N(2) acetyl 9 [(2 acetoxylethoxyl)methyl]guanine |
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