它支持有向或无向的模型，离散或连续的变量，各种推论及学习算法。
It supports directed and undirected models, discrete and continuous variables, various inference and learning algorithms.
实际问题中经常涉及连续的数值属性，然而许多归纳学习算法却是针对离散属性空间的。
The continuous attribute problems are often encountered in the real world, but many outstanding inductive learning algorithms are mainly based on a discrete feature space.
使用一个半监督学习算法，ANN可产生一个能够指示相对稳定度的连续分布的暂态稳定指标。
The ANN can derive a continuous-spread stability index to indicate the relative stability degree by means of a semi-supervised learning algorithm.
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