在一阶马尔可夫假设下，利用多层前向神经网络进行迭代逼近求解。
The solution was put forward by the iterative approach through multiple-forward network under Markov hypothesis.
结合首次超越破坏的二状态马尔可夫假设和结构系统可靠性理论计算系统的动力可靠性，并在此基础上进行了优化设计。
According to the two_state Markov hypothesis and the structural system reliability theory, the structural reliability is computed, and the optimization is achieved.
结合首次超越破坏的二状态马尔可夫假设和结构系统可靠性理论计算系统的动力可靠性，并在此基础上进行了优化设计。
According to the two_state Markov hypothesis and the structural system reliability theory, the structural reliability is computed, and the optimization is achieved.
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