Conclusions Hierarchic analysis was a relative accurate and practical method for determining weight coefficient.
结论层次分析法是一种较为准确、实用的权重系数判定的方法。
Based on weights analysis of feedforward neural networks, a hierarchic decomposition neural networks method for solving this problem is provided.
基于前馈神经网络的权重分析，提出一种基于神经网络的结构优化层次分解方法，较好地解决了这一问题。
Based on an analysis of existing shortcomings of currently used fuzzy diagnosis and expert diagnosis systems, the paper presents an hierarchic model for fuzzy diagnosis.
该文在分析了目前使用的旋转机械故障的模糊诊断和诊断专家系统存在不足的基础上，提出了一种故障模糊诊断的层次结构模型。
Based on an analysis of existing shortcomings of currently used fuzzy diagnosis and expert diagnosis systems, the paper presents an hierarchic model for fuzzy diagnosis.
该文在分析了目前使用的旋转机械故障的模糊诊断和诊断专家系统存在不足的基础上，提出了一种故障模糊诊断的层次结构模型。
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