Non linear fitting with 3 independent variables
I have a dataset consisting of one dependent variable (K) and 3 independent variables (a, IL, Vf). I am trying to fit a function which could represent dependent variable with fair amount of accuracy.
I have attached the Data.mat file consisting of the dataset.
The form I am trying to fit is –
K = (A – B*IL – C*a)*(D*exp(-E*Vf))
LaTeX form:
initial guess could be – , , , ,
I want the optimised coefficients for the best fitting. How to do this in curve fitting app I was able to do 2 independent variables. I am not aware of how to do this.
Also if not this function how to find some other simple function/functional forms that could represent this data. In academic research lot of people find correlation like this.
load(‘Data.mat’);
PS – Please don’t suggest a polynomial type fit consisting of linear, square and interaction terms. As the aim is to have minimum coefficients ie simpler equation.I have a dataset consisting of one dependent variable (K) and 3 independent variables (a, IL, Vf). I am trying to fit a function which could represent dependent variable with fair amount of accuracy.
I have attached the Data.mat file consisting of the dataset.
The form I am trying to fit is –
K = (A – B*IL – C*a)*(D*exp(-E*Vf))
LaTeX form:
initial guess could be – , , , ,
I want the optimised coefficients for the best fitting. How to do this in curve fitting app I was able to do 2 independent variables. I am not aware of how to do this.
Also if not this function how to find some other simple function/functional forms that could represent this data. In academic research lot of people find correlation like this.
load(‘Data.mat’);
PS – Please don’t suggest a polynomial type fit consisting of linear, square and interaction terms. As the aim is to have minimum coefficients ie simpler equation. I have a dataset consisting of one dependent variable (K) and 3 independent variables (a, IL, Vf). I am trying to fit a function which could represent dependent variable with fair amount of accuracy.
I have attached the Data.mat file consisting of the dataset.
The form I am trying to fit is –
K = (A – B*IL – C*a)*(D*exp(-E*Vf))
LaTeX form:
initial guess could be – , , , ,
I want the optimised coefficients for the best fitting. How to do this in curve fitting app I was able to do 2 independent variables. I am not aware of how to do this.
Also if not this function how to find some other simple function/functional forms that could represent this data. In academic research lot of people find correlation like this.
load(‘Data.mat’);
PS – Please don’t suggest a polynomial type fit consisting of linear, square and interaction terms. As the aim is to have minimum coefficients ie simpler equation. curve fitting, nonlinear, correlation MATLAB Answers — New Questions