...neural tree network 的翻译结果 --cnki翻译助手 nition shows effectiveness of this classifier. 本文研究一种神经树网络(NTN,NeuralTreeNetwork)模型,提出一种能自动生成其体系结构的有监督的竞争学习算法,指出该模型能解决复杂的多类模式分类问题...
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这种学习可以使用神经网络或者支持向量机,不过用决策树也可以实现类似的功能。
This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
监督学习是训练神经网络和决策树的最常见技术。
Supervised learning is the most common technique for training neural networks and decision trees.
这种类型的学习通常交给神经网络来完成,虽然很难想象,但用决策树来完成这类问题也很简单。
This type of learning could probably be carried out with neural networks, though it is hard to imagine that the problem is simple enough for decision trees.
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