All,

While I have developed a AI program in the past for racing I am of he opinion I could have done it better.

I am starting out writing a new program using a neural network with backpropagation as a learning method.

I have gone through and worked out how to weight everything so that each value has a ranking using a simple weighting method.

I am interested to hear how other people have gone trying this method ? Is backpropagation the right learning method to use ? What are the issues you ran into ? How much data should be used (I have races from 1991 - 2007)? What is the best training data to use ?

Should I try finding a general technique that may work over any track or should I specialise to tracks ? My research indicates specialisation might be the better method.

Any help would be appreciated.

Good Luck