@inproceedings{1c4a2e22ed4a416aadafe68cf11ced58,
title = "A simple procedure in back-propagation training",
abstract = "The standard back-propagation (BP) algorithm for multilayer feedforward neural networks is basically a gradient-descent method, it has the problems of local minima and slow convergence. In this paper, a simple method based on the BP algorithm by employing an adaptive learning rate and momentum factor to reduce the training time is presented. Simulation results indicate a superior convergence speed as compared to other competing methods.",
author = "Yu, {Chien Cheng} and Liu, {Bin Da}",
note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; International Conferences on Info-Tech and Info-Net, ICII 2001 ; Conference date: 29-10-2001 Through 01-11-2001",
year = "2001",
doi = "10.1109/ICII.2001.983111",
language = "English",
series = "2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "529--535",
editor = "Zhongzhi Shi and Hui Li and Y.X. Zhong",
booktitle = "2001 International Conferences on Info-Tech and Info-Net",
address = "United States",
}