Assessing the effectiveness based on principal component analysis and support vector machine

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Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron | 2006年 / 6卷 / 889-891+940期
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Several methods for assessing the effectiveness of weapon system are discussed, and their characteristics are analyzed. Establishing the parameters-effectiveness mode of weapon system, the first place is to select the character parameters of weapon system. The character parameters of weapon system are selected based on principal component analysis. A parameters-effectiveness model is established by using support vector machine. The method is illustrated through examples and is compared with the neural network method. The comparing results show that the support vector machine method is more accurate and simple.
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