Approximate multi-state reliability expressions using a new machine learning technique
Approximate multi-state reliability expressions using a new machine learning technique
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DOI：
10.1016/j.ress.2004.08.023
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发表时间：
2005-09
期刊：
影响因子：
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通讯作者：
Claudio M. Rocco Sanseverino;M. Muselli
中科院分区：
文献类型：
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作者：
Claudio M. Rocco Sanseverino;M. Muselli
作者之前提出的用于近似二元可靠性表达式的基于机器学习的方法现在已扩展到开发一种基于汉明聚类过程的新算法，该算法能够处理多状态系统和任何成功标准。详细介绍了所提出的技术，并在文献案例中进行了验证：实验结果表明，新算法产生了出色的预测。
The machine-learning-based methodology, previously proposed by the authors for approximating binary reliability expressions, is now extended to develop a new algorithm, based on the procedure of Hamming Clustering, which is capable to deal with multi-state systems and any success criterion. The proposed technique is presented in details and verified on literature cases: experiment results show that the new algorithm yields excellent predictions.