...诊断中的应用研究-臂力论文网 xtracted,KE）、经验知识库（Experience Knowledge Base,EKB）、学习样本集（Learning Sample Set,LSS）和模糊神经网络（Fuzzy Neural Networks,FNN）共6个模块共同组成，其工作流程是..
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为了克服历史数据不足的问题，设计了通过时间序列聚类分析进行学习样本集的积累的方法。
To overcome the shortage of historical data, the increment of learning samples are got by clustering analysis the time series data from Ticket sale record.
采用统一、规范化准则，对各优化目标进行等级划分并进行不同的组合，形成FNN的学习样本集，其输出即决策解的综合性能的评估值。
According to the unified and standardization criterion, the optimal objectives are graded and combined to form learning sample set for FNN model, and its output is the integrated evaluated value.
利用悬臂梁的仿真分析，获得各种典型损伤工况下的结构固有频率(样本)，组成学习问题的样本集。
Through the simulation of a cantilever beam in different damage cases, We get the corresponding natural frequencies (samples) and make up the sample aggregate.
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