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中文摘要：
本项目以化学信息学技术为基础，研制实用于伏安法、动力学分析、紫外可见分光光度等化学信息学方法，进行水中多元体系形态分布的研究。主要致力于研制小波多尺度多变量回归、小波包-人工神经网络联用技术和最大似然主组分分析-人工神经网络等联用技术。本项目涉及环境分析化学、数学和统计学、计算机科学、人工智能、信息科学等许多学科,旨在利用多学科交叉进行综合性研究。还特别致力于一些前沿技术的联合应用。首次研制了一些有创意新方法，如正交信号校正-小波包变换-径向基函数神经网络、数据融合、支持矢量机等）并成功应用形态分布研究。 共发表论文27篇，其中8篇全文发表在Chemometrics and Intelligent Laboratory Systems (影响因子:1.940) 、Electrochimica Acta (影响因子:3.078) 、Spectrochimica Acta Part A (影响因子:1.510)、Analytical and Bioanalytical Chemistry(影响因子: 3.107) 等SCI源杂志上并被SCI收录，17篇论文被EI收录，15篇被ISTP收录。
结论摘要：
英文主题词Information science; speciation；data mining; environmental analytical chemisty
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期刊论文
会议论文
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期刊论文
Combining orthogonal signal correction and wavelet packet transform with partial least squares to an
Combining direct orthogonal signal correction and wavelet packet transform with partial least square
Studies on simultaneous quantitative determination of overlapping spectra using chemometric techniqu
Simultaneous Resolution of Overlapped Spectra of Three Kinds of Organic Compounds Using a Wavelet Pa
Simultaneous determination of Sm(III) and Y(III) by spectrophotometry with a wavelet packet transfor
Resolution of overlapping signals in spectrometry using a wavelet packet transform and an Elman recu
会议论文
Application of a wavelet packet transform based radial basis function neural network to analyze over
Resolve overlapping voltammetric peaks by artificial neural networks with maximum likelihood princip
Resolve of Overlapped Voltammetric Peaks in Using a Wavelet Packet Transform Based Radial Basis Func
Simultaneous Spectrophotometric Determination of O-nitro-aniline, M-nitro-aniline and P-vitro-anilin
Simultaneous Multicomponent Voltammetric Determination Throngh a Method Based on Data Mining in Chem
Improvement of Prediction Ability of Multicomponent Regression Model by a Method Based on Data Minin
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