I've recently begun working with computational structures called artificial neural networks (ANNs). I have read many articles concerning them and am now working on several books covering the basic of ANNs. I generally am not much on such micro-scale computation (ANNs comprise tiny, tiny computational blocks that must be assembled by the hundreds to perform real-world functions), but I figured I need to have experience working with each and every technique of algorithmic composition. My background in systems which learn has been relatively weak until now.

Surprisingly, I managed to achieve some very interested graphical results with some rudimentary neural nets. Unfortunately, as is the case with fractals, interesting imagery does not necessarily translate into interesting music. I'll try not to get pulled into that trap of sacrificing musical quality for interesting computation structures.