Paper Title:
SVR-Based Predictive Model for Purity of the Mg-Al-Hydrotalcite
  Abstract

In this study, a prediction model based on support vector regression (SVR) to describing the complex nonlinear relationship between the purity of the resultant (Mg-Al-hydrotalcite) and the raw material amount of reactant (NaOH, Mg2+ and Al3+) was developed. And the partarticle swarm optimization (PSO) algorithm was employ for optimizing the parameters of SVR model.The predicton results from SVR compared with that of BP (back- propagation) neuarl network prediction model by applying identical training and test samples stongly support that, SVR-based predictive model for Mg-Al-hydrotalcite purity is feasible and effective.This study suggest that SVR may be an efficient and novel methodology for conduct the productive process to produce synthetic hydrotacite in high purity and in high yield.

  Info
Periodical
Advanced Materials Research (Volumes 189-193)
Edited by
Zhengyi Jiang, Shanqing Li, Jianmin Zeng, Xiaoping Liao and Daoguo Yang
Pages
1482-1485
DOI
10.4028/www.scientific.net/AMR.189-193.1482
Citation
J.L. Tang, C.Z. Cai, X.J. Zhu, G.L. Wang, "SVR-Based Predictive Model for Purity of the Mg-Al-Hydrotalcite", Advanced Materials Research, Vols. 189-193, pp. 1482-1485, 2011
Online since
February 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yong Jian Liu, Shi Hua Liang, Jia Wu Wu, Na Fu
Abstract:By comprehensively analyzing the main factors affecting vertical ultimate bearing capacity of single pile, a prediction model of Support...
2278
Authors: Wei Sun, Guo Xiang Meng, Qian Ye, Jian Zheng Zhang, Li Weng Zhang
Abstract:Support vector machine (SVM) is gaining popularity on time series analysis due to its advanced theory foundation. The introduction of the...
2277
Authors: J.F. Pei, C.Z. Cai, X.J. Zhu, G.L. Wang, B. Yan
Chapter 2: Applied Chemical Engineering
Abstract:. This study introduces support vector regression (SVR) approach to model the relationship between the glass transition temperature (Tg) and...
430
Authors: Hai Jun Chen, Xi Juan Lou, Jie Liu
Chapter 8: Signal Processing
Abstract:In this paper, we present two methods to estimate the parameters of the GM (1,1)model under. The criterion of the minimization of mean...
1447
Authors: Ren Xiao Fang, Wei Hong Yao, Xu Dong Zhang
Chapter 4: Practice of Data Processing for Intelligent Systems
Abstract:Real-time and accurate traffic flow forecasting is one of the key contents of Intelligent Transportation System. For the disadvantage of...
508