نتایج جستجو برای: taguchi parameter setting
تعداد نتایج: 463503 فیلتر نتایج به سال:
Support vector machines (SVM) are a powerful tool for building good spam filtering models. However, the performance of the model depends on parameter selection. Parameter selection of SVM will affect classification performance seriously during training process. In this study, we use combined Taguchi method and Staelin method to optimize the SVM-based E-mail Spam Filtering model and promote spam...
In this paper, mechanical behavior of polyester with varying parameters of curing were investigated. Binder content, accelerator content, temperature and time were ascertained as parameters during curing of polyester specimens. Three levels of each parameter were selected and taguchi techniques are implemented. It was observed that curing time and binder content influenced mechanical properties...
The ceramics industry in Indonesia has a large contribution to the growth of various aspects Indonesia. But reality, there is still an imbalance between exports and imports for ceramic products. One way improve quality In fact, inspection process done manually which can make mistakes identifying defects. this study, design variable identification system was carried out specifically area dry spo...
Taguchi optimization method (L32 orthogonal array) was applied as an experimental design to determine optimum conditions for methylene blue dye removal from aqueous solutions by electrocoagulation (EC). Various electrocoagualtion parameters such as initial pH, time of electrolysis, concentration of dye, electrodes gap, applied current, solution temperature, amount of supporting electrolyte, des...
Corresponding Author: Siew Mooi Lim Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia E-mail: [email protected] Abstract: This study operates within experimental design with two main tools of Taguchi method namely orthogonal array and signal to noise ratio to discover the optimal parameter settings for newly proposed generational genetic algorithms; the...
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