A serial complexity measure of neural networks
Moshe Sipper · 2002
The most common methodology of neural network analysis is that of simulation since as of yet there is no common formal framework. Towards this end, one measure of serial algorithms is adopted, i.e., that of serial computational complexity. It is applied to the analysis of neural networks. Various networks are analyzed and their complexity is derived, thus providing insight as to their computational requirements.>