The other is ship course self-studying fuzzy control system, which is based on the learning mechanism of robot repetition control. The thesis analyses the system 's characteristic.
二是基于机器人重复控制的学习机理，提出了一种船舶航向自学习型模糊控制系统，分析了该系统的特点。
A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules.
应用一种变结构神经网络算法对初始化的模糊规则进行调整，提高模糊控制规则的自学习和自适应能力。
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