In this paper, the characteristics and advantages of neuro fuzzy intelligent control algorithm, which is an intersection of neural networks and fuzzy logic, are studied.
研究了将神经网络与模糊逻辑融合交叉而形成的神经网络-模糊智能控制算法的特点和优越性。
In recent years, because of the emergence of intelligent information processing technology, such as neural networks and fuzzy logic, circuit and device modeling have begun to use such methods.
近年来,由于神经网络、模糊逻辑等智能信息处理技术的兴起,电路与器件的建模也开始使用这类方法。
Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物,为复杂系统建模提供了一种有效工具。
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