摘要
在以往的铝电解生产中,出铝量往往多由人工经验来决定。为提高决策的科学化程度,提出了一种改进的决策树生成算法加权ID3,并将其应用于铝电解生产中出铝量的设定。针对ID3算法存在的问题,利用历史数据来计算条件属性的权重,提出了加权信息增益的概念,并基于加权信息增益来构造决策树。实验结果表明,所提出的方法具有较好的效果。
In existing production of aluminum electrolyser, aluminum tapping volume is usually determined manually according to experience. To make more scientific decision, an improved decision tree algorithm weighted ID3 is proposed and applied into the deter- mination of aluminum tapping volume. Aiming at the problems of ID3, weights of condition attributes are calculated from historical data. Then, weighted information gain is proposed to the construction of decision tree. Experimental results show that the proposed algorithm is effective.
出处
《微计算机信息》
2009年第30期177-178,共2页
Control & Automation
关键词
铝电解
决策树
加权信息增益
加权ID3
aluminum electrolyser
decision tree
weighted information gain
weighted ID3
