It is aimed to make the Fuzzy Neural Network control research on the loading of the intelligent loader based on CAN-BUS control system.
本研究课题就是以CAN总线系统硬件平台为基础，重点针对智能装载机铲装过程进行模糊神经网络控制研究。
This is necessary to avoid loading redundant data and therefore to use the video memory bandwidth and that of the AGP bus as efficiently as possible.
另外，为了尽可能高效的利用显存的带宽和AGP总线带宽，应该极力避免载入冗余数据。
Through analyzing the distribution of car flow in urban road, vehicle models of car, bus and heavy vehicle are set up separately. Based on the state of jam, vehicle loading model is established.
通过分析城市道路的车流分布特点，分别建立了小轿车、大型客车和重型车三类车辆模型，然后依据拥堵情况拟定针对城市桥梁拥堵的车辆荷载模型。
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