Emerging Intelligent Computing Technology and Applications: by Chunhua Feng, Zhenkun Huang (auth.), De-Shuang Huang,

By Chunhua Feng, Zhenkun Huang (auth.), De-Shuang Huang, Phalguni Gupta, Xiang Zhang, Prashan Premaratne (eds.)

This e-book constitutes the refereed complaints of the eighth overseas convention on clever Computing, ICIC 2012, held in Huangshan, China, in July 2012. The 242 revised complete papers provided within the 3 volumes LNCS 7389, LNAI 7390, and CCIS 304 have been conscientiously reviewed and chosen from 753 submissions. The papers during this quantity (CCIS 304) are prepared in topical sections on Neural Networks; Particle Swarm Optimization and area of interest expertise; Kernel equipment and aiding Vector Machines; Biology encouraged Computing and Optimization; wisdom Discovery and information Mining; clever Computing in Bioinformatics; clever Computing in development reputation; clever Computing in snapshot Processing; clever Computing in desktop imaginative and prescient; clever keep watch over and Automation; wisdom Representation/Reasoning and specialist structures; Advances in details safety; Protein and Gene Bioinformatics; tender Computing and Bio-Inspired Techiques in Real-World functions; Bio-Inspired Computing and Applications.

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Extra info for Emerging Intelligent Computing Technology and Applications: 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings

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Nonrestraint-Iterative Learning-based Optimal Control for Batch Processes. CIESC Journal 61(8), 1889–1893 (2010) 7. : NMPC of an Industrial Crystallization Process using Model-based Observers. Journal of Industrial and Engineering Chemistry 16, 708–716 (2010) (in Chinese) 8. : Iterative Optimal Control for Batch Process based on Generalized Predictive Control. Control and Instruments in Chemical Industry 33(2), 25–28 (2006) 9. : An Architecture for Adaptive Fuzzy Control in Industrial Environments.

4. Acknowledgement. This work was supported by NNSF of China (10961005). References 1. : Existence and Stability of Equilibria of the ContinuousTime Hopfield Neural Network. J. Comput. Appl. Math. 169, 117–125 (2004) 2. : Delay-dependent Global Asymptotic Stability for Delayed Cellular Neural Networks. Commun. Nonlinear Sci. Numer. Simulat. 14, 1057–1063 (2009) 3. : Delay-dependent Global Stability Condition for Delayed Hopfield Neural Networks. Nonlinear Analysis, RWA 8, 997–1002 (2007) 4. : An Improved Algebraic Criterion for Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delays.

2 3 There are five fuzzy sets for every input of the fuzzy logic system: NB, NS, ZE, PS, PB. 8. 1, where M scd , M sc are the setpoints and tracking results of sucrose crystal masses; M gcd , M gc are the setpoints and tracking results of glucose crystal masses. 2, where, Csd , Cs are the setpoints and tracking results of sucrose concentration; Cgd , Cg are the setpoints and tracking results of glucose concentration. 0 40 50 60 70 80 t/min Fig. 1. 5 0 10 20 30 40 50 60 70 80 90 100 t/min Fig. 2.

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