Incremental clustering of sonar images using self-organizing maps combined with fuzzy adaptive resonance theory
نویسندگان
چکیده
منابع مشابه
using game theory techniques in self-organizing maps training
شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...
Fusion of Structure Adaptive Self-organizing Maps Using Fuzzy Integral
Recently, many researchers attempt to develop an effective SOM-based pattern recognizer for high performance classification. Structure adaptive self-organizing map (SASOM) is a variant of SOM that is useful to pattern recognition and visualization. Fusion of classifiers can overcome the limitation of a single classifier by complementing each other. Fuzzy integral is a combination scheme that us...
متن کاملClustering Using Adaptive Self-organizing Maps (ASOM) and Applications
This paper presents an innovative, adaptive variant of Kohonen’s selforganizing maps called ASOM, which is an unsupervised clustering method that adaptively decides on the best architecture for the self-organizing map. Like the traditional SOMs, this clustering technique also provides useful information about the relationship between the resulting clusters. Applications of the resulting softwar...
متن کاملEnhancing Visual Clustering Using Adaptive Moving Self-Organizing Maps (AMSOM)
Recent advancements in computing technology allowed both scientific and business applications to produce large datasets with increasing complexity and dimensionality. Clustering algorithms are useful in analyzing these large datasets but often fall short to provide completely satisfactory results. Integrating clustering and visualization not only yields better clustering results but also leads ...
متن کاملUnmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps
We propose a powerful alternative to customary linear spectral unmixing, with a new neural model, which achieves locally linear but globally non-linear unmixing. This enables unmixing with respect to a large number of endmembers, while traditional linear unmixing is limited to a handful of endmembers.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ocean Engineering
سال: 2017
ISSN: 0029-8018
DOI: 10.1016/j.oceaneng.2017.06.061