本文针对我们提出的扩散模型——更替性技术创新扩散系统随机演化模型，对其参数做深入的研究。
This paper aims at detailed study of the parameters of the stochastic evolutionary model of the substitute technological innovation diffusion.
利用概率分析和随机模型的密度演化方法，导出了系统的一些新的可靠性指标和最优检测策略。
The new system reliability indices and the optimal inspection policy are obtained by using probability analysis and the density evolution method in stochastic.
第二部分，为进一步探讨无标度网络的形成机制，我们研究加点、加边、重连和去边四种演化过程的随机网络模型。
In the second part, in order to explore further the mechanism responsible for scale-freenetworks, we introduce two extended models of the Barabási ?Albert model.
介绍概率应变疲劳试验法、评价模型和损伤随机演化机制方面的新进展。
New advances are introduced in fatigue test method, assessment curves, and fatigue damage mechanism dealing the strain-based fatigue reliability theories and methods.
为了刻画实现随机用户均衡态的过程，提出一个考虑多用户参与和多准则决策的随机均衡交通配流演化模型。
This paper proposed a stochastic user equilibrium assignment model for regional multi-modal networks, together with a solution algorithm.
为了刻画实现随机用户均衡态的过程，提出一个考虑多用户参与和多准则决策的随机均衡交通配流演化模型。
This paper proposed a stochastic user equilibrium assignment model for regional multi-modal networks, together with a solution algorithm.
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