[an error occurred while processing this directive]

高等学校化学研究 ›› 1993, Vol. 9 ›› Issue (4): 296-302.

• Articles • 上一篇    下一篇

Ion Selective Electrode Array Analysis Using Variable Step-Size Generalized Simulated Annealing

WANG Shi-hua, XIAO Dan, YU Ru-qin   

  1. Department of Chemistry and Chemical Engineering, Hunan Univ., Changsha, 410082
  • 收稿日期:1992-08-09 出版日期:1993-12-24 发布日期:2011-08-17
  • 通讯作者: YU Ru-qin
  • 基金资助:

    Supported by the National Natural Science Foundation of China;Laboratory of Electroanalytical Chemistry,Changchun Institute of Applied Chemistry,Academia Sinica

Ion Selective Electrode Array Analysis Using Variable Step-Size Generalized Simulated Annealing

WANG Shi-hua, XIAO Dan, YU Ru-qin   

  1. Department of Chemistry and Chemical Engineering, Hunan Univ., Changsha, 410082
  • Received:1992-08-09 Online:1993-12-24 Published:2011-08-17
  • Supported by:

    Supported by the National Natural Science Foundation of China;Laboratory of Electroanalytical Chemistry,Changchun Institute of Applied Chemistry,Academia Sinica

PDF (PC)

摘要： A global optimum location algorithm called Variable Step-Size Generalized Simulated Annealing(VSGSA) was applied to treating the data obtained by using an array of ion-electrodes in solutions containing mixtures of Na+, K+, Ca2+. Unlike traditional optimization algorithms such as simplex procedure, VSGSA can be used to determine the model parameters without any priori information about the analytical system under investigation and overcome the disadvantage of simplex method which might converge to local extrema depending on the starting positions. The algorithm was applied to po-tentiometric determination of ions in mixture solutions.

关键词: Chemometrics, Multivariate calibration, Array of ion-selective electrodes, Generalized simulated annealing

Abstract: A global optimum location algorithm called Variable Step-Size Generalized Simulated Annealing(VSGSA) was applied to treating the data obtained by using an array of ion-electrodes in solutions containing mixtures of Na+, K+, Ca2+. Unlike traditional optimization algorithms such as simplex procedure, VSGSA can be used to determine the model parameters without any priori information about the analytical system under investigation and overcome the disadvantage of simplex method which might converge to local extrema depending on the starting positions. The algorithm was applied to po-tentiometric determination of ions in mixture solutions.

Key words: Chemometrics, Multivariate calibration, Array of ion-selective electrodes, Generalized simulated annealing