I have ‘x’ data, ‘y’ data, ‘z1’ data ‘z2’ data.
It has two variable values(‘z1’, ‘z2’) at the same coordinates(x,y).

x : an integer from 1 to 13
y : an integer from 1 to 19
Z1: 13*19

I used cftool to plot the mesh. ( Interpolation)

How do I extract ‘x’ and ‘y’ data from ‘z1’ ‘z2’?

I want to estimate the coordinates by comparing the x,y data( extracted through z1)
with the x,y data (extracted through z2).

A simple example is similar to finding approximate coordinates by estimating longitude based on time and latitude based on temperature, (confined to a northern (lower hemisphere) region.)

After moving the cftool result to the workspace (name: fittedmodel_z1), in the command window, use a value with a decimal point, not an integer, within the range (~13, ~19) for x and y, such as ‘fittedmodel_z1(10.1,3.7)’ When I give the command, I can get z1 data.

How do I do it in reverse?

I want to use f(x,y)=a , but I don’t know the function f(x,y) .
Cannot use formula(fittedmodel_Z1).

>> formula(fittedmodel_Z1)

ans =

‘piecewise linear surface’

I just want to know the coordinates through the overlapping part like the red hatched part in the picture below.

How about using artificial intelligence like a classification model? Or fuzzy?

Thank you.I have ‘x’ data, ‘y’ data, ‘z1’ data ‘z2’ data.
It has two variable values(‘z1’, ‘z2’) at the same coordinates(x,y).

x : an integer from 1 to 13
y : an integer from 1 to 19
Z1: 13*19

I used cftool to plot the mesh. ( Interpolation)

How do I extract ‘x’ and ‘y’ data from ‘z1’ ‘z2’?

I want to estimate the coordinates by comparing the x,y data( extracted through z1)
with the x,y data (extracted through z2).

A simple example is similar to finding approximate coordinates by estimating longitude based on time and latitude based on temperature, (confined to a northern (lower hemisphere) region.)

After moving the cftool result to the workspace (name: fittedmodel_z1), in the command window, use a value with a decimal point, not an integer, within the range (~13, ~19) for x and y, such as ‘fittedmodel_z1(10.1,3.7)’ When I give the command, I can get z1 data.

How do I do it in reverse?

I want to use f(x,y)=a , but I don’t know the function f(x,y) .
Cannot use formula(fittedmodel_Z1).

>> formula(fittedmodel_Z1)

ans =

‘piecewise linear surface’

I just want to know the coordinates through the overlapping part like the red hatched part in the picture below.

How about using artificial intelligence like a classification model? Or fuzzy?

Thank you. I have ‘x’ data, ‘y’ data, ‘z1’ data ‘z2’ data.
It has two variable values(‘z1’, ‘z2’) at the same coordinates(x,y).

x : an integer from 1 to 13
y : an integer from 1 to 19
Z1: 13*19

I used cftool to plot the mesh. ( Interpolation)

How do I extract ‘x’ and ‘y’ data from ‘z1’ ‘z2’?

I want to estimate the coordinates by comparing the x,y data( extracted through z1)
with the x,y data (extracted through z2).

A simple example is similar to finding approximate coordinates by estimating longitude based on time and latitude based on temperature, (confined to a northern (lower hemisphere) region.)

After moving the cftool result to the workspace (name: fittedmodel_z1), in the command window, use a value with a decimal point, not an integer, within the range (~13, ~19) for x and y, such as ‘fittedmodel_z1(10.1,3.7)’ When I give the command, I can get z1 data.

How do I do it in reverse?

I want to use f(x,y)=a , but I don’t know the function f(x,y) .
Cannot use formula(fittedmodel_Z1).

>> formula(fittedmodel_Z1)

ans =

‘piecewise linear surface’

I just want to know the coordinates through the overlapping part like the red hatched part in the picture below.

How about using artificial intelligence like a classification model? Or fuzzy?

Thank you. mesh, curve fitting, cftool, f(xy)=z, fuzzy, classification, learning, data, plot, formula MATLAB Answers — New Questions

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