摘要
为了充分利用遗传算法的全局寻优能力和SVM(支持向量机)的分类能力,文章设计了遗传优化SVM的分类算法。用遗传算法优化SVM中核函数的两个参数,再利用优化后的SVM进行分类。通过对方波和白噪声两种信号的分类仿真,证明了其优越性,同时也展现了遗传优化SVM在通信领域很好的应用前景。
In order to use GA＇s global searching optimized SVM by GA is proposed. It optimizes two capability and SVM＇s sorting capability, parameters of SVM, and classifies signals SVM. The reliability of the sorting algorithm is showm, and very good is found through simulation of sorting of noise and square-wave signals application prospect in an algorithm of with optimized communication
出处
《信息化研究》
2010年第3期49-51,57,共4页
INFORMATIZATION RESEARCH
关键词
遗传算法
支持向量机
优化
仿真
genetic algorithm
support vector machine
optimization
simulation
