Through principal component analysis, we have synthesized numerous indexes, (eliminated) information overlapping of the sample, and reduced the input dimension of BP network.
通过主成分分析法将众多指标进行综合，消除样本间的信息重叠，降低BP网络的输入维数。
The semantic network is the main method of representing knowledge, and is becoming principal form of component of knowledge base, so educes maintaining knowledge base and implementing inference.
语义网络作为表示知识的主要方法，成为知识库组成的主要形式，从而引出知识库的维护及推理的实现。
The paper sets up a risk early-warning model using the methods of BP neural network and principal component analysis.
本文运用BP神经网络和主成分分析相结合的方法构建了一个商业银行风险预警模型。
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