@inproceedings{8044a5e5c45143f6bfcace61c82e6d53,
title = "Residual adaptive algorithm applied in intelligent real-time calculation of current RMS value during resistance spot welding",
abstract = "To solve the large residual problems, which may occur during feed-forward neural network weight training, a comprehensive residual adaptive algorithm is proposed to give a better stability compared to standard Levenberg-Marquardt (L-M) algorithm and has less computational complexity than classical Newton method. The comparison with standard L-M algorithm checks the better performance of this algorithm. Then the well-trained neural network is embedded into a DSP controller to perform real-time calculation of current RMS value during resistance spot welding. Experimental result shows the validity of the residual adaptive algorithm and the feasibility of an intelligent current measuring method.",
author = "Liang Gong and Liu, \{Cheng Liang\} and Lei Guo",
year = "2005",
language = "英语",
isbn = "0780394224",
series = "Proceedings of 2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05",
pages = "1800--1806",
booktitle = "Proceedings of 2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05",
note = "2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05 ; Conference date: 13-10-2005 Through 15-10-2005",
}