Neural learning algorithms: some empirical trials

Reports some empirical trials comparing seven different neural learning algorithms (including two versions of back propagation) on four test problems. Though limited in scope the study does shed light on the performance of a variety of learning techniques, compared under relatively uniform conditions. The results cast some doubt on the status of back propagation as an `industrial strength´ learning algorithm