Advanced Intelligent Computing Theories and Applications. by Xue-Quan Xu, Xian-Bin Wen, Yue-Qing Li, Jin-Juan Quan

By Xue-Quan Xu, Xian-Bin Wen, Yue-Qing Li, Jin-Juan Quan (auth.), De-Shuang Huang, Laurent Heutte, Marco Loog (eds.)

The overseas convention on clever Computing (ICIC) was once shaped to supply an annual discussion board devoted to the rising and tough subject matters in man made intelligence, computing device studying, bioinformatics, and computational biology, and so forth. It goals to deliver - gether researchers and practitioners from either academia and to proportion rules, difficulties and ideas concerning the multifaceted elements of clever computing. ICIC 2007, held in Qingdao, China, August 21-24, 2007, constituted the 3rd - ternational convention on clever Computing. It outfitted upon the luck of ICIC 2006 and ICIC 2005 held in Kunming and Hefei, China, 2006 and 2005, respectively. This yr, the convention focused in most cases at the theories and methodologies in addition to the rising purposes of clever computing. Its target was once to unify the image of latest clever computing thoughts as an fundamental idea that highlights the traits in complex computational intelligence and bridges theoretical learn with purposes. consequently, the topic for this convention was once “Advanced clever Computing expertise and Applications”. Papers concentrating on this subject matter have been solicited, addressing theories, methodologies, and purposes in technological know-how and technology.

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Extra info for Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence: Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings

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2002) 14. : Simulation of High-Conductance States in Cortical Neural Networks, Masters thesis, University of Heidelberg, HD-KIP-03-22. (2003) 15. : Learning Mechanism in Networks of spiking Neurons. Studies in Computational Intelligence, Springer-Verlag. 35 (2006) 171–197 16. : Adaptive CoOrdinate Transformation Based on Spike Timing-Dependent Plasticity Learning Paradigm, LNCS, Springer. 3610 (2005) 420-429 17. : Synaptic Computation. Nature. R. net Abstract. Trajectory planning of humanoid robots not only is required to satisfy kinematic constraints, but also other criteria such as staying balance, having desirable upper and lower postures, having smooth movement etc, is needed to maintain certain properties.

Nature, 323 (1986) 533-536 Analysis of Global Convergence and Learning Parameters 13 3. : Neural Network Design. Boston, MA: PWS, (1996) 4. : Stability of Steepest Descent with Momentum for Quadratic Functions. IEEE Trans. Neural Networks, 13 (2002) 752-756 5. : Analysis of Momentum Term in Back-propagation. IEICE Trans. Inform. , 8 (1995) 1-6 6. : Analytical Study of the Momentum Term in A Backpropagation Algorithm. Proc. ICANN91, (1991) 617-622 7. : On the Momentum Term in Gradient Descent Learning Algorithms.

Simulation results show that the network based on spiking neurons is able to perform edge detection within a time interval of 100 ms. This processing time is consistent with the human visual system. A firing rate map recorded in the simulation is comparable to Sobel and Canny edge graphics. In addition, the network can separate different edges using synapse plasticity, and the network provides an attention mechanism in which edges in an attention area can be enhanced. Keywords: Edge detection, spiking neural networks, receptive field, attention, visual system.

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