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基于神经网络的空气悬架系统匹配优化（Neural Network Optimization on Matching of Air Suspension System）
汽车 空气悬架 阻尼 匹配
2009/5/22
建立了空气悬架双质量模型，提出了基于RBF神经网络优化的系统阻尼和空气弹簧匹配的优化方法。匹配求优时，选取车身加速度和轮胎动载荷加权和最小值为优化目标，以悬架动行程最大值为约束。仿真结果表明，客车的平顺性和轮胎接地性都得到改善。台架试验与仿真结果基本吻合。
U.S. Department of Transportation waives local matching requirements and approves $15.7 million for public transportation in Louisiana
trolleys buses matching requirements
2006/12/6
November 30, 2006，New Orleans’trolleys and buses will continue running, as will bus service between Baton Rouge and New Orleans, thanks to nearly $16 million in new federal funds being made available ...