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将模糊逻辑推理方法与神经网络技术相结合组成的模糊神经网络控制器，可利用神经网络的高效和并行学习机理对模糊逻辑系统进行学习和修正，大大改善了系统的学习性能，仿真结果表明这种控制器不仅算法简单，控制实时性也高。
The fuzzy neural network controller composed of the fuzzy logical inference method and the neural network technology can learn and correct the fuzzy logic system by utilizing the efficient and parallel learning mechanism of the neural network and greatly improve the learning performance of the system. The simulation results show that The controller is not only simple algorithm, real-time control is also high.