经对性能指标性质的分析给出了一种模糊神经网络的学习算法——二阶段变半径随机搜索法。
Based on the analysis of the performance index a new algorithm, two stage random search algorithm with variable radius, is put forward.
将学习理论与鲁棒控制相结合，采用随机化算法针对实参数不确定系统讨论了鲁棒控制器的设计问题。
This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms.
随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。
Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.
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