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《Journal of Anhui University of Technology and Science》 2003-04
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ε-Insensitive kernel-based adaline algorithm and its application

YANG Xu-bing~1,HAN Zi-cun~2 (1.Dept. of Art. Desi., Anhui University of Technology and Science, Wuhu 241000, China, 2. College of Information Science and Technology Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)  
Kernel_based Adaline learning algorithm, presented on the basis of least mean square error, approximates object function by regression with iteration. This technique is easy to understand and runs faster to optimal solution. By introducing ε-insensitive zone of support vector machine, Kernel_Based Adaline algorithm is modified to get better performance. Image denoising as an application of the amendatory algorithm. It can not only effectively eliminate spike noise as outliers, but also smooth random noise within this ε-insensitive zone. Finally, analysis and experiments on the benchmark image and pretreatment image of photo show the superiority of this method.
【CateGory Index】: TP391.41
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