Electronic Engineering and Information Science

333

Electronic Engineering and Information Science – Wang (Ed.)

© 2015 Taylor & Francis Group, London, ISBN: 978-1-138-02772-5

Distributed neural network self-learning algorithm

J.L. Cui, Y. Zhao & P.L. Qiao

Computer Science and Technology, Harbin University of Science and Technology, Harbin, P.R.China

ABSTRACT: For the problem of selecting the learning rate and initial connection weights, it improves BP al-

gorithm of artificial neural network. The distributed neural network self-learning algorithm has been proposed. In

the course of training, it implements the selection of input units, hidden units and learning rate and improves the

learning rate ...