Intelligent Data Engineering and Automated Learning – IDEAL by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun

By Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros

The middle of the perfect convention has been evolving from mining, interpreting, and exploring to reading and making experience of seas of knowledge this is often relatively significant during this big-data and deep-learning period.

The sixty eight complete papers provided have been conscientiously reviewed and chosen from one hundred fifteen submissions. they supply a priceless and well timed pattern of contemporary study results in information engineering and automatic studying starting from methodologies, frameworks, and strategies to functions together with numerous themes reminiscent of evolutionary algorithms deep studying neural networks probabilistic modeling particle swarm intelligence mammoth information research purposes in regression, category, clustering, clinical and organic modeling and predication textual content processing and picture research.

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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.

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