Info

此问题已关闭。 请重新打开它进行编辑或回答。

How can I tune an existing model to fit two correlations with multiple (>2) independent variables?

1 次查看(过去 30 天)
function(T_out1, P_out1, T_out2,P_out2) = thermal(T_in1, P_in1, T_in2, P_in2)
k1 = fn(T_in1, P_in1, T_in2,P_in2) and of the form a*x1^b*x2^c k2 = fn(T_in1, P_in1, T_in2,P_in2) and of the form d*x1^e*x2^f*x3^g
T_out1 = f(T_in1, P_in1, T_in2,P_in2, k1.k2) T_out2 = f(T_in1, P_in1, T_in2,P_in2, k1,k2) end
I have 20 data points (T_outs, P_outs for corresponding T_ins, and P_ins) and I want to use these to calculate the constants(a,b,c,d,e,f,g) in the equations for k1, and k2. I tried using curve fitting for k1 but k2 has more than two independent variables. Another concern here is that both of these equations need to be satisfied simultaneously for the given outputs.

回答(0 个)

此问题已关闭。

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by