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文件名称: 神经网络与自主车:从1995到2015.pdf
  所属分类: 深度学习
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  文件大小: 366kb
  下载次数: 0
  上传时间: 2018-01-20
  提 供 者: sinat_3*******
 详细说明: Many real world problems require a degree of exibility that is di- cult to achieve using hand programmed algorithms. One such domain is vision-based autonomous driving. In this task, the dual challenges of a con- stantly changing environment coupled with a real time processing constrain make the exibility and eciency of a machine learning system essential. This chapter describes just such a learning system, called ALVINN (Au- tonomous Land Vehicle In a Neural Network). It presents the neural net- work architecture and training techniques that allow ALVINN to drive in a variety of circumstances including single-lane paved and unpaved roads, multilane lined and unlined roads, and obstacle-ridden on- and o-road environments, at speeds of up to 55 miles per hour. ...展开收缩
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