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Study Results from Zhejiang University, College of Life Sciences Update Understanding of Machine Learning - Artificial Neural Networks

机译:浙江大学生命科学学院的研究结果更新了对机器学习的理解-人工神经网络

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2011 JAN 31 - (VerticalNews.com) -- New investigation results, 'Biosorption ofrnAcid Black 172 and Congo Red from aqueous solution by nonviable Penicillium YW 01: kineticrnstudy, equilibrium isotherm and artificial neural network modeling,' are detailed in a studyrnpublished in Bioresource Technology. According to recent research from Hangzhou, People'srnRepublic of China, "The main objective of this work was to investigate the biosorptionrnperformance of nonviable Penicillium YW 01 biomass for removal of Acid Black 172 metalcomplexrndye (AB) and Congo Red (CR) in solutions. Maximum biosorption capacities ofrn225.38 and 411.53 mg g(-1) under initial dye concentration of 800 mg L(-1), pH 3.0 and 40 °Crnconditions were observed for AB and CR, respectively."
机译:2011年1月31日-(VerticalNews.com)-新的研究结果在《生物资源》(Bioresource)上发表的一项研究中详细介绍了“无活力青霉YW 01从水溶液中对rnAcid Black 172和刚果红的生物吸附作用:动力学研究,平衡等温线和人工神经网络建模”。技术。根据中国杭州的最新研究,“这项工作的主要目的是研究无生命青霉YW 01生物质对溶液中酸性黑172金属络合物(AB)和刚果红(CR)的去除性能。在初始染料浓度为800 mg L(-1),pH 3.0和40°C的条件下,分别观察到AB和CR的最大生物吸附量为225.38和411.53 mg g(-1)。

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