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 synthetic intelligence, desktop studying, bioinformatics, and computational biology, and so forth. It goals to deliver - gether researchers and practitioners from either academia and to percentage principles, difficulties and strategies regarding the multifaceted features of clever computing. ICIC 2007, held in Qingdao, China, August 21-24, 2007, constituted the 3rd - ternational convention on clever Computing. It equipped upon the luck of ICIC 2006 and ICIC 2005 held in Kunming and Hefei, China, 2006 and 2005, respectively. This 12 months, the convention focused ordinarily at the theories and methodologies in addition to the rising purposes of clever computing. Its goal used to be to unify the image of up to date clever computing strategies as an indispensable idea that highlights the developments in complex computational intelligence and bridges theoretical learn with functions. accordingly, the subject matter for this convention was once “Advanced clever Computing expertise and Applications”. Papers targeting this subject matter have been solicited, addressing theories, methodologies, and purposes in technology 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
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.
Knoblauch and Palm have proposed a network [5-6] consisted of three areas (retina, primary visual cortex, and central visual area). Each area is composed of several neuron populations and reciprocally connected. The network has been applied to scene segmentation by means of spike synchronization. A dynamically coupled neural oscillator network is proposed to segment image in . By means of attention-guided object selection and novelty detection, an oscillatory model is proposed to recognise objects by combining consecutive selection of objects and discrimination between new and familiar objects .
Population size of the PSO-based training algorithms is 50. The Number of particles is 100. 4, w is adjusted adaptively according to formula (18). c1=c2=2. The connection weight changes between [-1,1]. The maximum generation is determined as 600. 6 displays the prediction data for one-step forward prediction model of JVM heap memory usage and the error between original data and prediction data. We can see the proposed model can predict application server aging with lower error and application server performance decreases with time.
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 by Xue-Quan Xu, Xian-Bin Wen, Yue-Qing Li, Jin-Juan Quan (auth.), De-Shuang Huang, Laurent Heutte, Marco Loog (eds.)