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Bio
His primary scientific interests are in Artificial neural network, Artificial intelligence, Linear regression, Quantitative structure–activity relationship and Set. His Artificial intelligence research includes elements of Machine learning and Pattern recognition. His work in the fields of Pattern recognition, such as Pattern recognition, intersects with other areas such as Learning vector quantization neural network.
His Linear regression study combines topics in areas such as Kovats retention index, Property, Chromatography, Regression analysis and Data set. His Quantitative structure–activity relationship research incorporates elements of Data mining, Root-mean-square deviation and Aqueous solution, Henry's law. His Set research includes themes of Optical fiber, Biological system, Analyte and Molecular geometry.
His Linear regression study combines topics in areas such as Kovats retention index, Property, Chromatography, Regression analysis and Data set. His Quantitative structure–activity relationship research incorporates elements of Data mining, Root-mean-square deviation and Aqueous solution, Henry's law. His Set research includes themes of Optical fiber, Biological system, Analyte and Molecular geometry.
Research Interests
Papers共 266 篇Author StatisticsCo-AuthorSimilar Experts
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