| 二个四参数增长曲线模型参数初始值的确定方法与模型应用 |
| |
| 引用本文： | 程毛林. 二个四参数增长曲线模型参数初始值的确定方法与模型应用[J]. 数学的实践与认识, 2009, 39(9) |
| |
| 作者姓名： | 程毛林 |
| |
| 作者单位： | 苏州科技学院,数理学院,江苏,苏州,215009 |
| |
| 摘 要： | 对非线性回归模型进行非线性最小二乘估计一般需要确定参数初始值.在非线性回归模型中,General Logistic模型和Von Bertalanffy模型是二个含有四参数的增长曲线模型,对数据的拟合有较强的适应性,应用较为广泛.本文给出这两个模型参数初始值的确定方法,并应用于实际拟合,得到很好的效果.
|
| 关 键 词： | 模型 非线性最小二乘估计 初始值 拟合 |
The Determine Method of Parameters Initial Values of Two 4 Parameters Increase Curve Model and the Application of Model |
| |
| CHENG Mao-lin. The Determine Method of Parameters Initial Values of Two 4 Parameters Increase Curve Model and the Application of Model[J]. Mathematics in Practice and Theory, 2009, 39(9) |
| |
| Authors: | CHENG Mao-lin |
| |
| Abstract: | The non-linearized least square estimate commonly need to confirms parameters initial values about non-linearized regress model.In non-linearized regress model,General Logistic model and Von Bertalanffy model are two 4 parameters increase curve model,they have strong adaptability about data fitting and rather abroad application.This paper givesThe determine method of parameters initial values of two model and applies to practice fitting,find good effect. |
| |
| Keywords: | model non-linearized least square estimate initial values fitting |
| 本文献已被 万方数据 等数据库收录！ |
|
