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Your search keyword '"Ling, Ai-fan"' showing total 13 results
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13 results on '"Ling, Ai-fan"'

1. Approximation Algorithms for Max 3-Section Using Complex Semidefinite Programming Relaxation

Author

Ling, Ai-fan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Du, Ding-Zhu, editor, Hu, Xiaodong, editor, and Pardalos, Panos M., editor

Published
2009
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8. A Method of Mixed Gas Infrared Spectrum Analysis Based on SVM Data Fusion Model

Author

Li Yan, Ling Ai-fan, Bai Peng, and Yu Daguang

Subjects
Support vector machine, Kernel (linear algebra), Engineering, Approximation error, business.industry, Information processing, Value (computer science), Pattern recognition, Function (mathematics), Artificial intelligence, Sensor fusion, business, Data modeling
Abstract

In order to solve the problem of non-linear in mixed gas infrared spectra analysis, the data fusion method based on support vector machine is used. Data fusion is a new information processing method, and it may use superfluous and complementary information to improve the performance of output, and the data fusion model is established. The non-linear processing function of support vector machine is used in model. The experimental result shows that, the maximum absolute error is 0.91%, the maximum mean absolute error is 0.39%, and the model has the certain project application value.

Published
2009

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