针对分区间检测法临界点处的跳跃问题，利用模糊神经网络理论进行了探讨，基本解决了临界点处的跳跃问题。
To overcome the problem of the angle's jumping on some critical points, the paper discussed it by using fuzzy neural network theory and solved it basically.
阐述了在导弹系统存在不确定性情况下，基于自适应反演控制技术和模糊神经网络理论，提出了一种导弹滑模控制系统设计方法。
Based on adaptive backstepping control techniques and fuzzy-neural theory, a sliding mode control scheme is proposed for missile control systems with uncertainties.
该方法借鉴了神经网络理论、模糊聚类算法和自适应模式识别法的优点，自动完成样本的分类与样件设计工作。
Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically.
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