Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37711
Title: Solving linear simultaneous equations by constraining learning neural networks
Authors: Huang, DS
Chi, Z 
Issue Date: 2001
Source: Proceedings of the International Joint Conference on Neural Networks (IJCNN'2001), Washington, DC, U., 15-19 July 2001 How to cite?
Abstract: This paper proposes using constrained learning algorithm (CLA) to solve linear equations, where the corresponding conrtraint relations for this problem is just the linear equations. As a result. the CLA can be effectively and appropriately applied It was found in experiments that the convergent speedfor this CLA is much faster than the recursive least square back propagation (RLS-BP) algorithm. Finally, related experimental results are presented.
URI: http://hdl.handle.net/10397/37711
ISBN: 0-7803-7044-9
ISSN: 1098-7576
DOI: 10.1109/IJCNN.2001.1016719
Appears in Collections:Conference Paper

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