Download Bio-Inspired Computing and Applications: 7th International by YuXi Liu, ZhiFeng Zhang (auth.), De-Shuang Huang, Yong Gan, PDF

By YuXi Liu, ZhiFeng Zhang (auth.), De-Shuang Huang, Yong Gan, Prashan Premaratne, Kyungsook Han (eds.)

The three-volume set LNCS 6838, LNAI 6839, and LNBI 6840 constitutes the completely refereed post-conference lawsuits of the seventh overseas convention on clever Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. This quantity comprises ninety three revised complete papers, from a complete of 281 shows on the convention - conscientiously reviewed and chosen from 832 preliminary submissions. The papers tackle all concerns in complex clever Computing, particularly Methodologies and purposes, together with theories, methodologies, and purposes in technological know-how and know-how. They comprise various innovations resembling synthetic intelligence, trend attractiveness, evolutionary computing, informatics theories and functions, computational neuroscience and bioscience, smooth computing, human laptop interface concerns, etc.

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Extra resources for Bio-Inspired Computing and Applications: 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou,China, August 11-14. 2011, Revised Selected Papers

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Table 1 show the corresponding maximum allowable value of τ2 for the case of ρ Communications in Computer and Information Science 13 Table 1. 05 to 1, one can see that stability criteria propose in this paper significantly improve the existing results of Theorem 1 in [7]. 5 Conclusions In this paper,a improved delay-distribution-dependent exponential stability criterion for stochastic discrete-time neural networks with time-varying delay is proposed. Finally, a numerical example has been given to demonstrate the effectiveness of the proposed method.

2 (F). It can be seen that the region around the house has been strengthened and other areas are ignored. 5 Discussion Various receptive fields and hierarchical structures of spiking neurons enable a spiking neural network to perform very complicated computation tasks, learning tasks and intelligent behaviours in the human brain. This paper proposed a spiking neural network model that can perform visual attention based on image features of horizontal and vertical lines. Simulations show that the proposed network is able to obtain attention area based on the inherent horizontal and vertical lines, for example a house.

In: Advances in Neural Information Processing Systems, pp. 1110–1117 (1992) 11. : Partially Connected Models of Neural Networks. Journal of Physics A 21, 3275–3284 (1998) 12. : Design of Fully and Partially Connected Random Neural Networks for Pattern Completion. G. ) IWANN 1993. LNCS, vol. 686, pp. 137–142. Springer, Heidelberg (1993) 13. : Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading (1989) 14. : Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems.

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