Quote:
Originally Posted by lucifirm
I know I can use a MLP to fit a function, but I have a couple of questions:
1) What is the simplest NN that I could use for fitting an unknown vector field, let's say an electric and/or magnetic field in a room (when I don't know the source(s), of course)?
2) What is the best NN that I could use for fitting the same vector field? Can I use one NN for fitting and other for optimizing the first NN?
P.S.: I'm new to the subject and I'm taking the LM course... |
In general, there is no "best" until you can define what your goal is. In general, people use the same model (say, NN) to learn from the data (optimizing/fitting) and for making predictions, and may need to choose among several possibilities (say NN structure) using learning tools (such as validation illustrated in Chapter 4 of the book). Hope this helps.