Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization
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چکیده
منابع مشابه
Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization
Recently, applications of Internet of Things create enormous volumes of data, which are available for classification and prediction. Classification of big data needs an effective and efficient metaheuristic search algorithm to find the optimal feature subset. Cat swarm optimization (CSO) is a novel metaheuristic for evolutionary optimization algorithms based on swarm intelligence. CSO imitates ...
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ژورنال
عنوان ژورنال: International Journal of Distributed Sensor Networks
سال: 2015
ISSN: 1550-1477,1550-1477
DOI: 10.1155/2015/365869