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基于人工神经网络的无机抗菌剂抗菌性能预测模型
引用本文:刘雪峰,张利,涂铭旌.基于人工神经网络的无机抗菌剂抗菌性能预测模型[J].上海大学学报(英文版),2004,8(1).
作者姓名:刘雪峰  张利  涂铭旌
摘    要:


Predictiong Model of Antibacterial Activities for Inorganic Antibacterial Agents Based on Artificial Neural Networks
LIU Xue-feng,ZHANG Li,TU Ming-jing.Predictiong Model of Antibacterial Activities for Inorganic Antibacterial Agents Based on Artificial Neural Networks[J].Journal of Shanghai University(English Edition),2004,8(1).
Authors:LIU Xue-feng  ZHANG Li  TU Ming-jing
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.
Keywords:inorganic antibacterial agent  antibacterial activity  neural networks  nanometer material
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