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Extra info for Intelligent Data Engineering and Automated Learning – IDEAL 2016: 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings
Locality preserving projections. In: Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, pp. 153–160 (2003) 10. : Nonlinear dynamic process monitoring using canonical variate analysis and kernel density estimations. IEEE Trans. Ind. Inf. 6(1), 36–45 (2010) 11. : A new clustering algorithm based on weighted Parzen window. J. Univ. Sci. Technol. Chin. 32(5), 546–551 (2002). com Abstract. Magic square is an old and interesting mathematical problem, which has the same value of all the sums of the elements in each row, column and diagonal.
Comput. Oper. Res. 53, 128–153 (2015) Predict Two-Dimensional Protein Folding Based on Hydrophobic-Polar Lattice 17 16. : An eﬀective exact algorithm and a new upper bound for the number of contacts in the hydrophobic-polar two-dimensional lattice model. J. Comput. Biol. 20, 593– 609 (2013) 17. : Solving two-dimensional hp model by ﬁreﬂy algorithm and simpliﬁed energy function. Math. Probl. Eng. 2013, Article ID: 398141 (2013) 18. : Polymorphic BCO for protein folding model. J. Comput. Inf. Syst.
Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network. Expert Syst. Appl. 36, 8849–8854 (2009) 12. : An eﬃcient hybrid Taguchi-genetic algorithm for protein folding simulation. Expert Syst. Appl. 36, 12446–12453 (2009) 13. : Protein folding simulations of 2D HP model by the genetic algorithm based on optimal secondary structures. Comput. Biol. Chem. 34, 137–142 (2010) 14. : An enhanced mapreduce framework for solving protein folding problem using a parallel genetic algorithm.