Implementation of the SANS algorithm on the CM2

This report describes a number of implementations on the massively parallel SIMD machine called the Connection Machine of the artificial neural network algorithm developed within the SANS project. The algorithm uses a recurrent network with the connection strengths defined according to Bayesian probability estimates. The purpose of these implementations has been to study how the algorithm can be adapted to run on parallel hardware and what can be gained from using such hardware.