The Fuzzy Systems, Knowledge Discovery, and Natural Computation Symposium (FSKDNC 2013) was successfully held from 24 to 25 July 2013, in Shenyang, China. The Symposium was a platform for authors to present their recent development on fuzzy systems, knowledge discovery, and natural computation (i.e., intelligent techniques inspired from nature, such as neural networks, genetic algorithms, and particle swarm optimization). The Symposium attracted numerous submissions from around the globe. Each submitted paper was rigorously reviewed by the program committee and additional reviewers based on originality, significance and quality of the research, clarity of the presentation, and relevance to the Symposium theme. 60 papers are included in the Symposium proceedings after the review process. The great efforts of the authors, the Organizing Committee members, the Program Committee members, and the additional reviewers are acknowledged here. The Symposium would not have been possible without the support from Liaoning Technical University. The professional and courteous staff from DEStech Publications, Inc also deserves special credits.Denoising Methods In the image denoising methods through using wavelet threshold, the key factor that affecting the algorithm performance was ... The specific method was described as follows 1) Conduct multi-layer biorthogonal wavelet transform on noised image ), (yxg , and obtain a group ... EXPERIMENT RESULTS AND ANALYSIS In this paper, the simulation experiments were conducted in Matlab.
|Title||:||Fuzzy Systems, Knowledge Discovery and Natural Computation Symposium|
|Author||:||Liangshan Shao, Jinguang Sun, Xiaowei Hui|
|Publisher||:||DEStech Publications, Inc - 2013-11-20|