关键词: 数据挖掘, 正交设计, 支持向量回归, 纳米二氧化钛, 制备, 数据挖掘, 正交设计, 支持向量回归, 纳米二氧化钛, 制备

Abstract: Nanometer TiO2 photocatalysts were prepared with the sol-gel process. Their photocatalytic activities were evaluated by photodegradation of methyl orange (MO) in water under UV light irradiation. To obtain the data of preparation，orthogonal design was used. The relationship between photo-catalytic activity of TiO2 for methyl orange and preparation conditions could be mined by analysis of variance and support vector regression (SVR). The results indicated that not only the best scheme of preparing photo-catalysts，but also the sequence of factors affecting the photo-degradation activities of nanometer TiO2 on methyl orange could be found. The influence sequence from larger to smaller was calcination temperature and glacial acetic acid volume > distilled water consumption > alcohol amount. Through the comparing the tested value with the calculated value of SVR for test sample，the experimental data could fit the calculated value well. The activities of nanometer TiO2 optimization parameters could be identified and estimated by the methodcombining orthogonal Latin square design with SVR.

Key words: data mining, orthogonal design, support vector regression (SVR), nanometer TiO2, preparation, data mining, orthogonal design, support vector regression (SVR), nanometer TiO2, preparation