计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (8): 25-26.
• 研究、探讨 • 上一篇 下一篇
奉国和
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FENG Guohe
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摘要： 对RBF神经网络、支持向量机、贝叶斯及K邻近等四种分类方法进行实验比较，依据分类正确率判别其泛化能力，为实际应用提供借鉴。
关键词: 分类, 支持向量机, 神经网络, 贝叶斯, K邻近（KNN）
Abstract: Four well-known learning algorithms of RBF，neural network，support vector machines，Bayesian and K-nearest neighbor are tested on benchmark.The algorithms are compared on correct classification rate and the results are used for reference.
Key words: classification, support vector machines, neural network, Bayesian, K nearest neighbor
奉国和. 四种分类方法性能比较[J]. 计算机工程与应用, 2011, 47(8): 25-26.
FENG Guohe. Comparing performance of four classification algorithms[J]. Computer Engineering and Applications, 2011, 47(8): 25-26.
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