层状双金属氢氧化物比表面积的数据挖掘研究
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- 英文论文题名：The research on specific surface areas of layered double hydroxides Based on data mining
- 论文作者：胡彪 ; 卢凯亮 ; 陆文聪
- 英文论文作者：Biao Hu ; Kailiang Lu ; Wencong Lu ; Department of Chemistry ; College of Sciences ; Shanghai University
- 年：2016
- 作者机构：上海大学理学院化学系;
- 论文关键词：层状双金属氢氧化物 ; 数据挖掘 ; 比表面积
- 英文论文关键词：Layered double hydroxides ; Data mining ; Specific surface areas
- 会议召开时间：2016-07-01
- 会议录名称：中国化学会第30届学术年会摘要集-第二十五分会：化学信息学与化学计量学
- 语种：中文
- 分类号：O611.64
- 学会代码：ZGHY
- 会议名称：中国化学会第30届学术年会-第二十五分会 ; 化学信息学与化学计量学
- 会议地点：中国辽宁大连
- 主办单位：中国化学会
- 学会名称：中国化学会
- 页数：1
- 文件大小：175k
- 原文格式：D
- 会议级别：全国
摘要
层状双金属氢氧化物~1(LDHs)及其煅烧物的比表面积可作为吸附剂评价的主要参数。本文运用数据挖掘技术~2(偏最小二乘法、人工神经网络、支持向量机等),探究了LDHS比表面积与其化学组成和制备工艺参数间的构效关系,用以筛选出特定比表面积的LDHS材料,并通过所选材料的化学合成和测试检验了预报结果的准确性。
The value of specific surface areas(SSAs) of layered double hydroxides and their calcinations can be employed as the main parameters of adsorbent evaluation.In this work,data mining methods were used to explore the correlations of the SSAs with their chemical compositions and process parameters in search of the certain LDHs materials with desired SSA.The accuracy of data mining model for predicting SSA was verified by the experimental results in our lab.
The value of specific surface areas(SSAs) of layered double hydroxides and their calcinations can be employed as the main parameters of adsorbent evaluation.In this work,data mining methods were used to explore the correlations of the SSAs with their chemical compositions and process parameters in search of the certain LDHs materials with desired SSA.The accuracy of data mining model for predicting SSA was verified by the experimental results in our lab.
引文
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[2]Lu,W.C.;Ji,X.B.;Li,M.J.;Liu,L.;Yue,B.H.;Zhang,L.M.Adv Manu.2013,(2):151.