正规化模糊神经网络在自动车控制中的应用

The apply of normal fuzzy neural network in automobile control

：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。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。

A 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.Emulation and experiments show that NFNN has fine expression and auto adapt learning and identifying complex track ability.