基于模糊神经网络的车辆制动性能预测研究  

Research on Vehicle Braking Quality Forecast Based on Fuzzy Neural Network

作　　者：费蓝冰[1] 杨文华[1] 刘芳华[2] 

机构地区：[1]江苏大学汽车与交通运输学院,江苏镇江212013 [2]江苏科技大学机械与动力工程学院,江苏镇江212003

出　　处：《拖拉机与农用运输车》2007年第6期76-77,共2页Tractor & Farm Transporter

摘　　要：为进一步提高车辆制动性能的计算机仿真精度,以模糊理论和神经网络原理为基础,提出了一种基于模糊神经网络的制动性能的预测仿真模型。试验结果表明使用模糊神经网络模型可以提高车辆制动性能的仿真精度。For enhancing the computer simulation precision of the vehicle braking quality ,take the fuzzy theory and the neural network principle as the foundation, proposed one kind braking quality forecast simulation model based on the fuzzy neural network. The experimental results indicated that by using fuzzy neural network model may improve the simulation precision of the vehicle braking quality.

关 键 词：车辆 制动 模糊神经网络 预测 

分 类 号：U463.5[机械工程—车辆工程]