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2009 Ninth International Conference on Hybrid Intelligent Systems
Euler Neural Network with Its Weight-Direct-Determination and Structure-Automatic-Determination Algorithms
Shenyang, China
August 12-August 14
ISBN: 978-0-7695-3745-0
| ASCII Text | x | ||
| Yunong Zhang, Lingfeng Li, Yiwen Yang, Gongqin Ruan, "Euler Neural Network with Its Weight-Direct-Determination and Structure-Automatic-Determination Algorithms," Hybrid Intelligent Systems, International Conference on, vol. 3, pp. 319-324, 2009 Ninth International Conference on Hybrid Intelligent Systems, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/HIS.2009.278, author = {Yunong Zhang and Lingfeng Li and Yiwen Yang and Gongqin Ruan}, title = {Euler Neural Network with Its Weight-Direct-Determination and Structure-Automatic-Determination Algorithms}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {3}, year = {2009}, isbn = {978-0-7695-3745-0}, pages = {319-324}, doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2009.278}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Euler Neural Network with Its Weight-Direct-Determination and Structure-Automatic-Determination Algorithms SN - 978-0-7695-3745-0 SP319 EP324 A1 - Yunong Zhang, A1 - Lingfeng Li, A1 - Yiwen Yang, A1 - Gongqin Ruan, PY - 2009 KW - Euler polynomials KW - Artificial neural networks KW - Iteration KW - Matrix pseudoinverse KW - Weights-direct-determination KW - Structure-automatic determination VL - 3 JA - Hybrid Intelligent Systems, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2009.278
To overcome the intrinsic weaknesses of conventional back-propagation (BP) neural networks, a novel type of feed-forward neural network is constructed in this paper, which adopts a three-layer structure but with the hidden-layer neurons activated by a group of Euler polynomials. A weights-direct-determination (WDD) method is thus able to be derived for it, which obtains the optimal weights of the neural network directly (i.e., just in one step). Furthermore, a structure-automatic-determination (SAD) algorithm is presented to determine the optimal number of hidden-layer neurons of the Euler neural network (ENN). Computer-simulations substantiate the efficacy of such a Euler neural network with its WDD and SAD algorithms.
Index Terms:
Euler polynomials, Artificial neural networks, Iteration, Matrix pseudoinverse, Weights-direct-determination, Structure-automatic determination
Citation:
Yunong Zhang, Lingfeng Li, Yiwen Yang, Gongqin Ruan, "Euler Neural Network with Its Weight-Direct-Determination and Structure-Automatic-Determination Algorithms," his, vol. 3, pp.319-324, 2009 Ninth International Conference on Hybrid Intelligent Systems, 2009
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