基于支持向量机的TiO_2/C复合气凝胶光催化性能预报  

The photocatalitic performance prediction of TiO_2/C nano-composite aerogels with SVR

作　　者：邵霞[1] 杨潇[1] 张睿[1] 刘太昂[2] 

机构地区：[1]上海应用技术学院材料科学与工程学院,上海201418 [2]上海大学材料科学与工程学院,上海200444

出　　处：《计算机与应用化学》2014年第12期1493-1495,共3页Computers and Applied Chemistry

基　　金：上海应用技术学院重点学科"复合材料"资助(10210Q140001);上海地方高校能力建设项目资助(12160503600);国家自然科学基金资助(U1332107);上海市一流学科建设资助(No.J201212);上海市宝山区科技创新专项资金资助(13-B-6)

摘　　要：TiO_2/C复合气凝胶光催化性能与材料的组成、孔结构参数密切相关,本文利用支持向量机的方法建立材料原始合成配方与TiO_2/C复合气凝胶光催化性能之间的定量预报模型。SVR建模和留一法交叉验证所得材料降解率计算值与实验值之间的相关系数平方(R^2)分别为0.929和0.884。利用该模型预报了2个新的实验样本,其降解率预报结果和实验结果非常接近,相对误差小于4%。The photocatolitic performance of TiO2/C nano-Composite Aerogels was tied up with their structure and composition.In general,we prepared materials by virtue of experience.In the article,SVR was used to build prediction model of the photocatalitic performance of TiO2/C nano-composite aerogels as to the formula of the materials,and we tested the prediction result with leave-one-out method.The square of the coefficient of correlation of the calculated value and experiment value was respectively 0.929 and 0.884,which were from SVR model and leave-one-out method.We handled two experiment samples using the model,and the calculated value was highly close to the experiment value,and the relative error was less than 4%.

关 键 词：支持向量机 光催化 TiO2/C复合气凝胶 

分 类 号：TQ015.9[化学工程] TP391.9[自动化与计算机技术—计算机应用技术]