First, the cascaded-correlation algorithm was modified using cross validation, and then based on the complexity metrics of software modules, the multilayer neural network classifier was designed to identify critical modules of software.
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美
- 首先利用交叉确认改进了级联相关算法,设计了多层前馈神经网络作为模式分类器,以软件模块的复杂性度量作为特征向量识别软件中的关键模块。