Download Advanced Intelligent Computing: 7th International by Lingzhi Wang, Jiansheng Wu (auth.), De-Shuang Huang, Yong PDF

By Lingzhi Wang, Jiansheng Wu (auth.), De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa (eds.)

This booklet constitutes the completely refereed post-conference court cases of the seventh foreign convention on clever Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The ninety four revised complete papers provided have been conscientiously reviewed and chosen from 832 submissions. The papers are geared up in topical sections on neural networks; desktop studying thought and techniques; fuzzy concept and versions; fuzzy structures and delicate computing; evolutionary studying & genetic algorithms; swarm intelligence and optimization; clever computing in machine imaginative and prescient; clever computing in photo processing; biometrics with purposes to person security/forensic sciences; clever image/document retrievals; typical language processing and computational linguistics; clever facts fusion and data protection; clever computing in development popularity; clever agent and internet functions; clever computing in scheduling; clever keep an eye on and automation.

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Read or Download Advanced Intelligent Computing: 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers PDF

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Additional info for Advanced Intelligent Computing: 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers

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Considering the problem of aspect and translation sensitivity, when the MTRC appears, motion compensation is executed on the echo of scattering-points falling in the same range cell. Then the HRRPs are made range-profile-aligning. 4 (4) where a(n) is the magnitude of target echo in the n th range cell. After the nonlinear transformation, the HRRPs’ distribution in feature space is better fitted by Gaussiandistribution. Therefore Gaussian classifiers can be used to make target recognition[3]. 2 Feature Extraction Considering the aspect sensitivity of HRRPs, we get range profiles in a small aspect angle to guarantee that the HRRPs remain relatively stable.

When the fault happens, the NN2 output is nonzero so that it overshoots the threshold. This will be used to detect, isolate and identify the type of faults function. 5 Simulation Results In order to verify the performance of our proposed fault diagnosis scheme, the two link planar robot manipulator is given as an example to illustrate the FDI scheme for robot manipulator. Simulation results are presented in this section, the link parameters of the manipulator are given in table 1. Table 1. 5 link ' s weight mi ( Kg ) 10 7 The dynamic of robot manipulator: ⎡τ 1 ⎤ ⎢τ ⎥ = M ⎣ 2⎦ ⎡ q1 ⎤ ⎡ f1 ⎤ ⎡τ d1 ⎤ + + V ⎢ q ⎥ m ⎢ f ⎥ + ⎢τ ⎥ ⎣ 2⎦ ⎣ 2 ⎦ ⎣⎢ d 2 ⎦⎥ Where M is given by: ⎡(m1 + m2 )a12 + m2 a22 + 2m2 a1a2 c2 M =⎢ m2 a22 + m2 a1a2 c2 ⎣ m2 a22 + m2 a1a2 c2 ⎤ ⎥ m2 a22 ⎦ (15) 30 M.

ICIC 2011, LNCS 6838, pp. 17–24, 2011. © Springer-Verlag Berlin Heidelberg 2011 18 M. Janeski and S. Kalajdziski forecasting is presented in [2]. According to [2] main unsolved mysteries in forecasting time series data with NNs are: how NNs model autocorrelated time series data, how to systematically build a NN based model for forecasting tasks, what is the best training method for forecasting tasks and what are the best pre- and postprocessing techniques. Most significant recommendations of NN based financial time series forecasting are given in [6].

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