提出了模糊系统安全分析的逻辑模型。这一方法是与基于概率理论之上的方法完全不同的安全分析方法。
The logical models for safety analysis of fuzzy system were set up, they were different from the usual method based on the probability theory.
模糊逻辑是处理非精确输入与系统非线性的强有力处理方法，便于迅速开发鲁棒性控制系统。
Fuzzy Logic is a powerful processing methodology that easily accommodates imprecise input data and system nonlinearities for rapid development of robust control systems.
解决了基于新型分类装置的分拣系统控制模型的建立与实现，运用模糊逻辑控制实现了分拣系统的智能控制。
Also, model of sorting system with this new sorting device is established and intelligent control to the sorting system is realized based on fuzzy logic control.
文章着重介绍模糊逻辑控制、神经网络控制以及它们的交叉结合的神经网络-模糊控制系统及其应用与设计。
Emphasis is put on the fuzzy logic control, neural network control, and both crossed neural network with fuzzy control system along with its application and design.
模糊逻辑与量子逻辑以及它们相应的代数系统是目前非经典逻辑体系中非常活跃的研究分支。
Now, studies about fuzzy logic, quantum logic and the corresponding algebra systems are very active in non-classical logic.
分析汽车转向时转向系与悬架对车辆综合性能的影响，并应用模糊逻辑控制理论，设计了主动悬架系统与电动助力转向系统集成控制器。
The influence of the steering and suspension system to the performance of the vehicle is analyzed, and fuzzy logic control theory is used.
将模糊逻辑系统、GA算法与BP算法相结合，形成一种有效网络学习方法。
An effective network learning method is formed by combining GA, BP algorithms with fuzzy logic system.
文章讲述了模糊与神经网络技术的特点及模糊逻辑与神经网络技术在电力传动系统中的运用。
This paper attempts to give a review of the characteristics of fuzzy logic and neural networks. The applications of fuzzy logic and neural networks in electric drive system are discussed.
文章讲述了模糊与神经网络技术的特点及模糊逻辑与神经网络技术在电力传动系统中的运用。
This paper attempts to give a review of the characteristics of fuzzy logic and neural networks. The applications of fuzzy logic and neural networks in electric drive system are discussed.
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