| Prediction Model of Antibacterial Activities for Inorganic Antibacterial Agents Based on Artificial Neural Networks |
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| 作者姓名： | 刘雪峰 张利 涂铭旌 |
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| 作者单位： | [1]SchoolofMaterialsScienceandEngineering,BeijingUniversityofScienceandTechnology,Beijing100083,P.R.China [2]Library,ChongqingInstituteofTechnology,Chongqing400050,P.R.China [3]DepartmentofMetallicMaterials,SichuanUniversity,Chengdu610065,P.R.China |
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| 摘 要： | Quantitatively evaluation of antibacterial activities of inorganic antibacterial agents is an urgent problem to be solved. Using experimental data by an orthogonal design, a prediction model of the relation between conditions of preparing inorganic antibacterial agents and their antibacterial activities has been developed. This is accomplished by introducing BP artificial neural networks in the study of inorganic antibacterial agents..It provides a theoretical support for the development and research on inorganic antibacterial agents.
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| 关 键 词： | 抗菌活性 无机抗菌药 人工神经网络 正交设计 |
| 收稿时间： | 21 February 2003 |
Prediction model of antibacterial activities for inorganic antibacterial agents based on artificial neural networks |
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| Liu?Xue-feng,Zhang?Li,Tu?Ming-jing.Prediction Model of Antibacterial Activities for Inorganic Antibacterial Agents Based on Artificial Neural Networks[J].Journal of Shanghai University(English Edition),2004,8(1):109-112. |
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| Authors: | Liu Xue-feng Zhang Li Tu Ming-jing |
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| Institution: | (1) School of Materials Science and Engineering, Beijing University of Science and Technology, 100083 Beijing, P.R. China;(2) Library, Chongqing Institute of Technology, 400050 Chongqing, P.R. China;(3) Department of Metallic Materials, Sichuan University, 610065 Chengdu, P.R. China |
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| Abstract: | Quantitatively evaluation of antibacterial activities of inorganic antibacterial agents is an urgent problem to be solved. Using experimental data by an orthogonal design, a prediction model of the relation between conditions of preparing inorganic antibacterial agents and their antibacterial activities has been developed. This is accomplished by introducing BP artificial neural networks in the study of inorganic antibacterial agents. It provides a theoretical support for the development and research on inorganic antibacterial agents. |
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| Keywords: | inorganic antibacterial agent antibacterial activity neural networks nanometer material |
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