Finally, the experimental results illustrate the improved KFCM algorithm can achieve good clustering performance and high efficiency for software engineering data mining.
实验结果表明，改进的KFCM算法对软件工程数据的挖掘有很好的聚类效果，且有较高的效率。
These numerical results together with the experimental data provide important theoretical bases for the research and engineering applications of HTS Maglev vehicle.
结合实验研究的这些计算结果为高温超导磁悬浮车的研究和工程实践提供了较为重要的科学依据。
The test results shown that consistent between the theoretical and the experimental data and simulating model's reliability as well its usability in engineering was confirmed.
通过试验，验证了理论模型与实验结果的一致性，从而确认了模拟模型在理论分析中的可信度及在工程中的可用性。
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