Using artificial bee colony to improve functional link neural network training

Applied Mechanics and Materials

Volumn 263-266, Issue PART 1, 2013, Pages 2102-2108

  Hassim, Yana Mazwin Mohmad ^a   Ghazali, Rozaida ^a  

^a UNIVERSITI TUN HUSSEIN ONN MALAYSIA   (Malaysia)

Author keywords

Artificial bee colony; Functional link neural network; Learning; Neural networks

Indexed keywords

ARTIFICIAL BEE COLONIES; CLASSIFICATION RESULTS; CLASSIFICATION TASKS; FUNCTIONAL LINK NEURAL NETWORK; HIDDEN LAYERS; LEARNING; LEARNING SCHEMES; LOCAL MINIMUMS; MULTI LAYER PERCEPTRON; NEURAL NETWORK TRAINING; OVERFITTING; SINGLE LAYER;

INFORMATION TECHNOLOGY;

NEURAL NETWORKS;

EID: 84872455242     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.263-266.2102     Document Type: Conference Paper

References (33)

1. G. P. Zhang, "Neural networks for classification: a survey, " Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 30, pp. 451-462, 2000.
2. S.-H. Liao and C.-H. Wen, "Artificial neural networks classification and clustering of methodologies and applications-literature analysis from 1995 to 2005, " Expert Systems with Applications, vol. 32, pp. 1-11, 2007.
3. J. C. Patra and R. N. Pal, "A functional link artificial neural network for adaptive channel equalization, " Signal Processing, vol. 43, pp. 181-195, 1995.
4. S. Dehuri and S.-B. Cho, "A comprehensive survey on functional link neural networks and an adaptive PSO-BP learning for CFLNN, " Neural Computing & Applications vol. 19, pp. 187-205, 2010.
5. Y. H. Pao and Y. Takefuji, "Functional-link net computing: theory, system architecture, and functionalities, " Computer, vol. 25, pp. 76-79, 1992.
6. S. Haykin, "Neural Networks: A Comprehensive Foundation., " The Knowledge Engineering Review vol. 13, pp. 409-412, 1999.
7. E. Sahin, "A New Higher-order Binary-input Neural Unit: Learning and Generalizing Effectively via Using Minimal Number of Monomials " Master, Middle East Technical University of Ankara, 1994.
8. B. B. Misra and S. Dehuri, "Functional Link Artificial Neural Network for Classification Task in Data Mining, " Journal of Computer Science, vol. 3, pp. 948-955, 2007.
9. Y. H. Pao, "Adaptive pattern recognition and neural networks, " 1989.
10. J. C. Patra and C. Bornand, "Nonlinear dynamic system identification using Legendre neural network, " in Neural Networks (IJCNN), The 2010 International Joint Conference on, 2010, pp. 1-7.
11. J. C. Patra and A. C. Kot, "Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks, " Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, vol. 32, pp. 505-511, 2002.
12. H. M. Abbas, "System Identification Using Optimally Designed Functional Link Networks via a Fast Orthogonal Search Technique, " JOURNAL OF COMPUTERS, vol. 4, FEBRUARY 2009 2009.
13. S. Emrani, et al., "Individual particle optimized functional link neural network for real time identification of nonlinear dynamic systems, " in Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on, 2010, pp. 35-40.
14. S. J. Nanda, et al., "Improved Identification of Nonlinear MIMO Plants using New Hybrid FLANN-AIS Model, " in Advance Computing Conference, 2009. IACC 2009. IEEE International, 2009, pp. 141-146.
15. J. Teeter and C. Mo-Yuen, "Application of functional link neural network to HVAC thermal dynamic system identification, " Industrial Electronics, IEEE Transactions on, vol. 45, pp. 170-176, 1998.
16. P. P. Raghu, et al., "A combined neural network approach for texture classification, " Neural Networks, vol. 8, pp. 975-987, 1995.
17. I.-A. Abu-Mahfouz, "A comparative study of three artificial neural networks for the detection and classification of gear faults " International Journal of General Systems vol. 34, pp. 261-277, 2005.
18. L. M. Liu, et al., "Image classification in remote sensing using functional link neural networks, " in Image Analysis and Interpretation, 1994., Proceedings of the IEEE Southwest Symposium on, 1994, pp. 54-58.
19. S. Dehuri and S.-B. Cho, "Evolutionarily optimized features in functional link neural network for classification, " Expert Systems with Applications, vol. 37, pp. 4379-4391, 2010.
20. M. Klaseen and Y. H. Pao, "The functional link net in structural pattern recognition, " in TENCON 90. 1990 IEEE Region 10 Conference on Computer and Communication Systems, 1990, pp. 567-571 vol.2.
21. G. H. Park and Y. H. Pao, "Unconstrained word-based approach for off-line script recognition using density-based random-vector functional-link net, " Neurocomputing, vol. 31, pp. 45-65, 2000.
22. R. Majhi, et al., "Development and performance evaluation of FLANN based model for forecasting of stock markets, " Expert Systems with Applications, vol. 36, pp. 6800-6808, 2009.
23. R. Ghazali, et al., "Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals, " Expert Systems with Applications, vol. 38, pp. 3765-3776, 2011.
24. A. Namatame and N. Veda, "Pattern classification with Chebyshev neural network, " International Jounal of Neural Network, vol. 3, pp. 23-31, 1992.
25. S. Haring and J. Kok, "Finding functional links for neural networks by evolutionary computation, " in In: Van de Merckt Tet al (eds) BENELEARN1995, proceedings of the fifth Belgian-Dutch conference on machine learning, Brussels, Belgium, 1995.
26. S. Haring, et al., "Feature selection for neural networks through functional links found by evolutionary computation, " In: ILiu X et al (eds) Adavnces in intelligent data analysis (IDA-97). LNCS 1280, pp. 199-210, 1997.
27. A. Sierra, et al., "Evolution of functional link networks, " Evolutionary Computation, IEEE Transactions on, vol. 5, pp. 54-65, 2001.
28. S. Dehuri, et al., "Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification, " presented at the Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning, Daejeon, South Korea, 2008.
29. D. Pham, et al., "The Bees Algorithm, " Manufacturing Engineering Centre, Cardiff University, UK,2005.
30. D. Karaboga, "An Idea Based on Honey Bee Swarm for Numerical Optimization, " Erciyes University, Engineering Faculty, Computer Science Department, Kayseri/Turkiye2005.
31. D. Karaboga and B. Basturk, "On the performance of artificial bee colony (ABC) algorithm, " Elsevier Applied Soft Computing, vol. 8, pp. 687-697, 2007.
32. B. Akay and D. Karaboga, "A modified Artificial Bee Colony algorithm for real-parameter optimization, " Information Sciences, vol. In Press, Corrected Proof, 2010.
33. D. Karaboga and C. Ozturk, "A novel clustering approach: Artificial Bee Colony (ABC) algorithm, " Applied Soft Computing, vol. 11, pp. 652-657, 2011.