title: An Efficient EM-based Training Algorithm for Feedforward Neural Networks.
abstract: A fast training algorithm is developed for two-layer feedforward neural networks based on a probabilistic model for hidden representations and the EM algorithm. The algorithm decomposes training the original two-layer networks into training a set of single neurons. The individual neurons are then trained via a linear weighted regression algorithm. Significant improvement on training speed has been made using this algorithm for several bench-mark problems. Copyright 1997 Elsevier Science Ltd. All Rights Reserved.
authors.affiliation: Rensselaer Polytechnic Institute, USA
authors.forename: James
authors.initials: J
authors.lastname: Farmer
authors.forename: Chuanyi
authors.initials: C
authors.lastname: Ji
authors.forename: Sheng
authors.initials: S
authors.lastname: Ma