As soon as you open Kartesio, you will get a blank table and a blank plot. This is also the same screen you can get in every moment just clicking on (maxima to be installed on your computer, while the neural network method needs ZorbaNeural. → ). You can try to best fit your experimental points with a regression algorithm or a neural network, using the tools in the appropriate tab. Please note that regression algorithm needs

Clicking the button, Kartesio will start to calculate coefficients for the function you wrote, trying to best fit the experimental points. The final function will appear the edit box close to the bottom edge of the window.

Usually, back propagation training is just what you need. For this reason it is checked by default. Just modify the number of iterations (it should not be too high, or the process may end up with way too strange value) and then press the button. Please take note that the neural network, exactly as a human brain, may give you different results: if you press the button more than once and you will find out that the network calculates every time a different best fitting curve.

| Find some bugs or give some suggestions |

If you find any bugs in the program, or have a few suggestions for improvements, please let me know at TRINGALINVENT@libero.it. |