Repaired Algorithm for Nonlinear to Predict the Displacement of Copper Ion in the Absorption System of Treated Steal Slag

Autor:	Ying Qin, Shujing Zhu
Rok vydání:	2018
Předmět:	Materials science chemistry.chemical_element Slag Function (mathematics) Copper Displacement (vector) Nonlinear system Adsorption chemistry visual_art Phase space visual_art.visual_art_medium Absorption (chemistry) Algorithm
Zdroj:	The Minerals, Metals & Materials Series ISBN: 9783319723310
DOI:	10.1007/978-3-319-72332-7_67
Popis:	The nonlinear properties of copper ion removal through the adsorption on treated steel slag is a function of pH and the election potential. Based on phase space reconstruction theory and the powerful nonlinear mapping ability of support vector machines, the information offered by the time series datum sets can be fully exploited and the trend of displacement evolution of adsorption system can be precisely predicted by making real-time predicting. The experimental results suggest that the methods based on phase space reconstruction and v-SVR algorithm are very accurate, and the study can help to build the displacement forecast system to analyze the removal rate of copper ion in the adsorption system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::36c2f542655cfb699208c017d48fbb19 https://doi.org/10.1007/978-3-319-72332-7_67 Zobrazit plný text záznamu