摘要
提出一种改进的KNN算法,该算法最大的优点是不需要K值,同时具有较好的分类性能。自编程序设计了改进的算法,并将其用于煤样所属煤种的快速分类。通过实验预测了煤样所属煤种。结果表明与经典KNN算法相比,改进的算法实现简单,分类准确率高,适用于煤种的快速分类。
We proposed one kind of algorithm based on improved KNN algorithm,which biggest merit of this algorithm does not need the K value, it has the good classified performance simultaneously. The improved algorithm has devised withe programming, and it is used to classify quickly in the coal sampleoWith the experiment,the coal sample had forecast. The result indicated that this algorithm＇s realizes is simple and the recognition rate of accuracy is high compared with the classics KNN algorithm,, it is suitable to the classification quickly in coal type.
出处
《煤炭技术》
CAS
北大核心
2011年第1期46-47,共2页
Coal Technology
关键词
煤种
距离
准确率
coal type
distance
accuracy
