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Download e-book for kindle: Advances in Future Computer and Control Systems: Volume 2 by Meng Zhang, Beige Yang, Hui Xue, Yuxiang Lv (auth.), David

By Meng Zhang, Beige Yang, Hui Xue, Yuxiang Lv (auth.), David Jin, Sally Lin (eds.)

ISBN-10: 3642293891

ISBN-13: 9783642293894

ISBN-10: 3642293905

ISBN-13: 9783642293900

FCCS2012 is an built-in convention concentrating its specialise in destiny machine and regulate platforms. “Advances in destiny laptop and regulate platforms” offers the complaints of the 2012 overseas convention on destiny laptop and keep watch over Systems(FCCS2012) held April 21-22,2012, in Changsha, China together with fresh study effects on destiny desktop and regulate platforms of researchers from everywhere in the international.

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Jin and S. ): Advances in FCCS, Vol. 2, AISC 160, pp. 33–38. -J. -R. Lin the file and meshed into 10,348 tetrahedron elements in FE model. 392. 1 Contruct BPN Model The predictive model was completed using BPN as a modeling structure. BPN is currently the most representative and the most popular supervised neural network in ANN learning model [5][6]. 1). In the network infrastructure, there exist transfer functions between the input layer and the hidden layers and between the hidden layers and the output layer [7].

Advances in FCCS, Vol. 2, AISC 160, pp. 29–32. com 30 X. Shang, H. Gu, and Z. Xue Grade characteristics. Through the survey we find that as grade increasing, the proportion of students rapidly increases in online shopping. 7%. Thus, the increase in network knowledge has a greater impact on online shopping. At the same time as the grade increasing, the proportion of college students who own computers is also higher, which is a powerful online consumer condition. Psychological characteristics.

The dimension of the spectrum can be reduced by processed by KPCA. The main information is kept by the KPCA and CCA. The SVM is used to process the data after dimensionality reduction to realize the fast detection and identification. This method is used to realize the effective recognition of the mineral oil. Acknowledgment. The authors would like to acknowledge financial supports of the Hebei province science and technology plan projects(10276722). References 1. : Oil identification based on parameterization of three-dimensional fluorescence spectrum.

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Advances in Future Computer and Control Systems: Volume 2 by Meng Zhang, Beige Yang, Hui Xue, Yuxiang Lv (auth.), David Jin, Sally Lin (eds.)


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