pruning method

基本解释

An optimization algorithm of RBF Neural Networks based on ant colony clustering and a pruning method is proposed.
提出了一种基于蚁群聚类算法和裁剪方法的RBF神经网络优化算法。
To solve over-fitting problem in decision tree, we use a complex pruning method which pre-pruning combined with post-pruning in pruning algorithm of decision tree.
为了解决树中存在的“过适应”问题和提高决策树的分类准确率，在决策树剪枝算法上采用采用先剪枝和后剪枝两种方法相结合的综合剪枝方法；
By using the method to improve the ID3 algorithm, experiments show that the algorithm generates smaller decision tree and uses less training time than the algorithm using pre-pruning method.
利用该方法对基本ID3决策树算法进行了改进。分析和实验表明，与先剪枝方法相比，该方法能进一步减小决策树的规模和训练时间。