Automatic and parallel optimized learning for neural networks performing MIMO applications

Advances in Electrical and Computer Engineering

Volumn 13, Issue 1, 2013, Pages 3-12

  Fulginei, Francesco Riganti ^a   Laudani, Antonino ^a   Salvini, Alessandro ^a   Parodi, Mauro ^b  

^a ROMA TRE UNIVERSITY   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84875323616     PISSN: 15827445     EISSN: 18447600     Source Type: Journal    
DOI: 10.4316/AECE.2013.01001     Document Type: Article

References (28)

1. K. H. Lim, K. P. Seng, L. M. Ang, S. W. Chin., "Lyapunov Theory-Based Multilayered Neural Network", IEEE Trans. on Circ. and Syst.-II: Express Briefs, vol. 56, no. 4, April (2009), pp. 305-309.
2. B. Yalcin, K. Ohnishi, "Infinite-Mode Networks for Motion Control", IEEE Transactions on Ind. Elect., vol. 56, no. 8, August (2009), pp. 2933-2944.
3. G. Capizzi, S. Coco, C. Giuffrida, A. Laudani, "A neural network approach for the differentiation of numerical solutions of 3-D electromagnetic problems", IEEE Trans. on Magnetics, Vol. 40, No. 2, pp. 953-956, 2004
4. N. Morariu, S. Vlad, "Using Pattern Classification and Recognition Techniques for Diagnostic and Prediction," Advances in Electrical and Computer Engineering, vol. 7, no. 1, pp. 63-67, 2007.
5. N. S. Thomaidis, G. D. Dounias, "A Hybrid Neural Network-Based Trading System", Proceeding on HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems, Pages 694-701
6. P. Shuang, Y. Wei-kang and G. Mei ling "Application of Simulated Annealing BP Neural Network in Financial Crisis Early Warning", International Conference on Computational Intelligence and Software Engineering (CiSE), 2010, pp. 1-3
7. L.O. Fedorovici, R.E. Precup, F. Dragan, R.C. David and C. Purcaru, "Embedding Gravitational Search Algorithms in Convolutional Neural Networks for OCR applications", 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2012, pp. 125-130
8. L. Jianyo, L. Yongchun, B. Jianpeng, S. Xiaoyun, L. Aihua. Flaw, "Identification Based on Layered Multi-subnet Neural Networks", Proceedings of Second Int. Conf. on Intelligent Networks and Intelligent Systems. 1-3 November (2009). Tianjin, China, pp.118128.
9. A. Sun, A. Zhang, Y. Wang., "Largescale Artificial Neural Network Owning Function Subnet", Proceedings of 2006 IEEE Int. Conf. on Mechat. and Autom. June 25-28, (2006), Luoyang, China, pp. 2465-2470.
10. W. Haikun, D. Weiming, X. Sixin, "Designing Neural Networks Based on Structure Decomposition", Proceedings of the 3d World Congress on Intel. Cont. and Aut. June 28-July 2, (2000), Hefei, P.R. China. pp. 821-825.
11. H. Kabir, Y. Wang, M. Yu and Q. J. Zhang, "High-Dimensional Neural-Network Technique and Applications to Microwave Filter Modeling", IEEE Trans on Micr. Theory and Tech., vol. 58, no. 1, January (2010), pp. 145-156.
12. F. Riganti Fulginei, A. Salvini, "Neural Network Approach for Modelling Hysteretic Magnetic Materials under Distorted Excitations", IEEE Transactions On Magnetics, vol. 48, p. 307 -310, 2012.
13. F. Riganti Fulginei, A. Salvini, C. Coltelli, "A Neuro-Genetic and Time-Frequency Approach Macromodeling Dynamic Hysteresis in Harmonic Regime", IEEE Transactions On Magnetics, vol. 39, p. 1401-1404, 2003.
14. S. Fiori, Singular Value Decomposition Learning On Double Stiefel Manifold, Int.Journal of Neural Sys., Vol. 13, No. 2 (2003) World Sci. Pub.Comp. pp. 1-16.
15. H. Trung Huynh, Y. Won, "Training Single Hidden Layer Feedforward Neural Networks by Singular Value Decomposition", Proceedings of 2009 Fourth Int. Conf. on Comp. Scie. and Conv. Inf. Tech. 30 November -2 December Seoul, Korea. pp. 1300-1304.
16. K. Rohani, M.S. Chen, M. T. Manry, "Neural Subnet Design by Direct Polynomial Mapping", IEEE Trans. on Neural Net., vol. 3, no. 6, November (1992). pp. 1024-1026.
17. F. Riganti Fulginei, A. Salvini, M. Parodi, "Learning Optimization Of Neural Networks Used For Mimo Applications Based On Multivariate Functions Decomposition". Inverse Problems In Science & Engineering, vol. 20, p. 29-39, 2012
18. B. Curry, "Neural networks and seasonality: Some technical considerations", European Journal of Operational Research vol. 179, pp. 267-274, 2007.
19. E. J. Teoh, K. C. Tan, C. Xiang, "Estimating the number of hidden neurons in a feedforward network using the singular value decomposition", IEEE Trans. on Neural Networks, vol. 17, no. 6, pp. 1623-1629, nov. 2006.
20. G. Bebis, M. Georgiopoulos, "Optimal feed-forward neural network architectures", IEEE Potentials, October 1994, pp. 27-31.
21. C. Cernazanu, "Training Neural Networks Using Input Data Characteristics," Advances in Electrical and Computer Engineering, vol. 8, no. 2, pp. 65-70, 2008.
22. R. Mirsu, S. Micut, C. Caleanu, D. B. Mirsu, "Optimized Simulation Framework for Spiking Neural Networks using GPU's," Advances in Electrical and Computer Engineering, vol. 12, no. 2, pp. 61-68, 2012.
23. R. Reed, "Pruning algorithms-A review," IEEE Trans. Neural Networks, vol. 4, pp. 740-747, 1993.
24. T. Kwok, D. Yeung, "Constructive algorithms for structure learning in feedforward neural networks for regression problems," IEEE Trans. Neural Networks, vol. 8, n. 3, pp. 630-645, May 1997 .
25. Wolpert D. H., Macready, W. G., "No free lunch theorems for optimization," IEEE Trans. on Evolutionary Computation, vol. 1, pp. 67-83, 1997.
26. F. Riganti Fulginei, A. Salvini, "Comparative Analysis between Modern Heuristics and Hybrid Algorithms", COMPEL, The International Journal for Computation and Mathematics in Electrical and Electronics Engineering, MCB University Press, vol. 26, no. 2, pp. 264-273, March 2007.
27. F. Riganti Fulginei, A. Salvini, "Hysteresis model identification by the Flock-of-Starlings Optimization", International Journal Of Applied Electromagnetics And Mechanics, vol. 30, p. 321-331, 2009
28. F. Riganti Fulginei, A. Salvini and G. Pulcini, "Metric-topological-evolutionary optimization". Inverse Problems in Science & Engineering (IPSE), vol. 20, p. 41-58, 2012