无限区间上s -分布时滞广义递归神经网络模型概周期解的全局渐近稳定性。
Global asymptotic stability of general recurrent neural network models with S-type distributed delays on infinite intervals.
对混合位置分布族，当混合比已知时，提出了关于分量参数的假设检验和区间估计方法，所提出的方法基于广义枢轴模型。
The interval estimation and hypothesis testing of component parameters in mixture location distributions are discussed when mixing proportion is known.
提出随机-模糊概率模型的分布参数为区间界限限定时，结构模糊可靠度的计算方法。
The calculation method of the fuzzy reliability of the structure was proposed when the distribution parameters of the random-fuzzy probability model were limited by the interval limitation.
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