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The properties of generalized flip Markov chains on connected regular digraphs are discussed. The 1-Flipper operation on Markov chains for undirected graphs is generalized to that for multi-digraphs. The generalized 1-Flipper operation preserves the regularity and weak connectivity of multi-digraphs. The generalized 1-Flipper operation is proved to be symmetric. Moreover, it is presented that a series of random generalized 1-Flipper operations eventually lead to a uniform probability distributio... 相似文献
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将一种机器学习算法--支持向量机引入到软岩工程支护设计领域,并根据问题需要提出了一种支持向量机回归算法且编制了相应的计算程序.工程算例证明,这种算法在学习样本数量很少的情况下就可以得到很高的预测精度,且具有推广性能好的优点,避免了人工神经元由于存在过学习问题而带来的网络参数难以确定的弊病,为类似工程的支护设计提供了一种新的途径. 相似文献
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