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Least square support vector machines parameter optimization based on improved ant colony algorithm for hepatitis diagnosis
" Many kinds of classification method are able to diagnose a patient who suffered Hepatitis disease. One of classification methods that can be used was Least Squares Support Vector Machines (LSSVM). There are two parameters that very influence to improve the classification accuracy on LSSVM, they are kernel parameter and regularization parameter. Determining the optimal parameters must be considered to obtain a high classification accuracy on LSSVM. This paper proposed an optimization method based on Improved ... "
Surabaya: Institut Teknologi Sepuluh Nopember, Faculty of Information and Technology, Department of Informatics, 2017
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Artikel Jurnal  Universitas Indonesia Library