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基于遗传算法的威布尔溶出曲线参数估算方法研究
引用本文:陈天朝,赵新红,康冰亚. 基于遗传算法的威布尔溶出曲线参数估算方法研究[J]. 中国药房, 2011, 0(41): 3857-3859
作者姓名:陈天朝  赵新红  康冰亚
作者单位:[1]河南中医学院第一附属医院中药制剂国家局三级实验室,郑州市450000 [2]河南中医学院,郑州市450008
基金项目:河南省教育厅2009年度自然科学研究计划项目(2009A36003)河南省2010年科技发展计划(102102310185)
摘    要:目的:利用遗传算法全局搜索能力的优势,进行威布尔溶出曲线参数估算。方法:以通脉丸中竹节香附素A的溶出数据为研究载体,利用Matlab软件中遗传算法优化工具箱实现威布尔溶出曲线参数估算,并与非线性最小二乘法估算结果进行统计学比较。结果:遗传算法与非线性最小二乘法估算的威布尔溶出曲线参数无显著性差异(P>0.05),而遗传算法估算参数的校正均方差小于非线性最小二乘法。结论:遗传算法适用于威布尔溶出曲线参数的估算。

关 键 词:遗传算法  威布尔溶出曲线参数  非线性最小二乘法

Estimation of Weibull Dissolution Curve Parameters Based on Genetic Algorithm
CHEN Tian-chao,KANG Bing-ya. Estimation of Weibull Dissolution Curve Parameters Based on Genetic Algorithm[J]. China Pharmacy, 2011, 0(41): 3857-3859
Authors:CHEN Tian-chao  KANG Bing-ya
Affiliation:(The Three Level Laboratory of State Administration of TCM Preparation, The First Affiliated Hospital of Henan College of TCM, Zhengzhou 450000, China) ZHAO Xin-hong(Henan College of TCM, Zhengzhou 450008, China)
Abstract:OBJECTIVE: To estimate the Weibull dissolution curve parameters on the basis of the superiority of Genetic Algorithm, that is of strong searching ability. METHODS : According to the dissolution data of raddeanin A in Tongmai pill, Genetic Algorithm Optimization Toolbox of Matlab software was used to estimate the Weibull curve parameters, and also compared with the Nonlinear Least Squares Method. RESULTS: There was no significant difference of Weibull dissolution curve parameters between Genetic Algorithm and Nonlinear Least Squares Method (P〉0.05), but the root mean square error of calibration of Genetic Algorithm was smaller than that of Nonlinear Least Squares Method. CONCLUSION: Genetic Algorithm is suitable to estimate the Weibull dissolution curve parameters.
Keywords:Genetic Algorithm  Weibull dissolution curve parameters  Nonlinear Least Squares Method
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