Emulation and experiments show that NFNN has fine expression and auto adapt learning and identifying complex track ability.
仿真及试验结果表明，该网络具有良好的表达能力和极强的自适应学习能力，能正确识别较复杂的轨迹。
Normal fuzzy neural network (NFNN) was constructed by integrating fuzzy theory and neural network technology in this paper. It has been used in unmanned driving car along a predefined track.
把模糊理论与神经网络理论相结合，构造了一个正规化模糊神经网络NFNN，并应用于无人小车自动轨迹跟踪的控制。
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