http://scholars.ntou.edu.tw/handle/123456789/16956
標題: | Self-organizing Fusion Neural Networks |
作者: | Jung-Hua Wang Chun-Shun Tseng Sih-Yin Shen Ya-Yun Jheng |
關鍵字: | neural networks;image segmentation;clustering;counteracting learning;watershed |
公開日期: | 20-七月-2007 |
卷: | 11 |
期: | 6 |
起(迄)頁: | 610-619 |
來源出版物: | Journal of Advanced Computational Intelligence 619 and Intelligent Informatics |
摘要: | This paper presents a self-organizing fusion neural network (SOFNN) effective in performing fast clustering and segmentation. Based on a counteracting learning scheme, SOFNN employs two parameters that together control the training in a counteracting manner to obviate problems of over-segmentation and under-segmentation. In particular, a simultaneous region-based updating strategy is adopted to fa... |
URI: | http://scholars.ntou.edu.tw/handle/123456789/16956 |
DOI: | 10.20965/jaciii.2007.p0610 |
顯示於: | 電機工程學系 |
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