如何使模型学习与记忆具有一定随机性。
How to make learning and memory of the model possess some randomness.
该模型有自组织和自学习的功能，可以根据每次学习误差的不同，不断调整学习速率，加速收敛过程，充分排除数据样本的随机性影响。
The network model can organize and study itself, according to different study error, continuously adjust the study rate, and accelerate refrain process, expel influence of the data sample.
提出了对随机事件概率分布参数进行自学习的方法，把知识化制造单元中的不确定因素纳入任务控制的数学模型。
The uncertain factors of the knowledgeable manufacturing cell were included in the task control model by utilizing a self-study method of probability distribution parameters of stochastic events.
在分析了目前的拥塞控制算法的基础上，将随机估计学习算法(SELA)和模糊逻辑的知识引入拥塞控制，提出了新的拥塞控制模型。
Based on analysis of the current congesting algorithm, a new congesting control mechanism is proposed, which employs SELA (stochastic estimator learning algorithm) and fuzzy logic controller.
其中采用了基于与或图的随机图像语法模型，以此指导对形状物体的理解、分解、学习、采样。
The And-Or graph stochastic grammar is used for the understanding, decomposing, learning and sampling on shape object.
其中采用了基于与或图的随机图像语法模型，以此指导对形状物体的理解、分解、学习、采样。
The And-Or graph stochastic grammar is used for the understanding, decomposing, learning and sampling on shape object.
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