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。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
The simulation result is that the Fuzzy forward neural networks which is trained by this algorithm have good non-logic generalization and feature extraction ability, as well as fast learning speed.
模拟结果表明利用该算法训练的模糊层次神经网络具有较好的非逻辑归纳能力和特征抽取能力，并且学习速度也大大加快。
By using the control strategies of fuzzy logic and neural networks, a new control algorithm was designed to solve the control problems.
采用模糊逻辑和神经元网络控制策略，设计了新的控制算法来解决阀控马达控制问题。
This thesis focuses on the intelligent control strategies based on fuzzy logic and neural networks and its application in motion control.
本文的研究内容是基于模糊逻辑和人工神经网络的智能控制策略及其在运动控制中的应用。
T-S fuzzy neural network not only has the advantage of fuzzy logic and the neural networks, but also has good learning ability.
基于T - s模型的模糊神经网络不但具有模糊逻辑和神经网络两者的优点，又具有很好的学习能力。
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。
According to the requirement of the GICA strip quantitative detection system, the fuzzy neural networks PID is used by combining fuzzy logic and artificial neural network.
针对金免疫层析定量测试的要求，将模糊逻辑与人工神经网络相结合，采用模糊神经网络隐式PID控制作为控温方法。
According to the requirement of the GICA strip quantitative detection system, the fuzzy neural networks PID is used by combining fuzzy logic and artificial neural network.
针对金免疫层析定量测试的要求，将模糊逻辑与人工神经网络相结合，采用模糊神经网络隐式PID控制作为控温方法。
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