Finding Initial Parameters of Neural Network for Data Clustering
نویسندگان
چکیده
منابع مشابه
Finding Initial Parameters of Neural Network for Data Clustering
K-means fast learning artificial neural network (K-FLANN) algorithm begins with the initialization of two parameters vigilance and tolerance which are the key to get optimal clustering outcome. The optimization task is to change these parameters so a desired mapping between inputs and outputs (clusters) of the KFLANN is achieved. This study presents finding the behavioral parameters of K-FLANN ...
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ژورنال
عنوان ژورنال: International Journal of Artificial Intelligence & Applications
سال: 2013
ISSN: 0976-2191,0975-900X
DOI: 10.5121/ijaia.2013.4205