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Method for predicting impact and an impact prediction system for realizing the same by using neural networks

机译:利用神经网络预测影响的方法和实现影响的预测系统

摘要

A method for predicting impact by using neural networks comprising steps of supplying a predetermined crash curve to a first neural network having an intermediate layer to train said first neural network by means of learning calculation and supplying a predetermined air bag deployment limit curve to a second neural network to train said second neural network, supplying data indicative of crash curve obtained by an acceleration sensing device on collision to said first and second neural networks, predicting in said first neural network a time instance at which a threshold displacement is going to reach based on the basis of the training result in said first neural network, comparing in said second neural network data indicative of crash curve on said collision and said air bag deployment limit curve to produce a decision signal of deploying the air bag according to the comparison result, calculating said decision signal and said time instance, to deploy the air bag depending on the impact, and supplying an operation command signal to an air bag deployment operation device.
机译:一种通过使用神经网络来预测撞击的方法,包括以下步骤:向具有中间层的第一神经网络提供预定的碰撞曲线,以通过学习计算来训练所述第一神经网络,并且向第二神经提供预定的安全气囊展开极限曲线。训练所述第二神经网络的网络,向所述第一和第二神经网络提供指示由加速度感测设备在碰撞时获得的碰撞曲线的数据,在所述第一神经网络中预测阈值位移将要达到的时间实例,基于根据所述第一神经网络中训练结果的基础,在所述第二神经网络中将表示所述碰撞的碰撞曲线的数据与所述气囊展开极限曲线的数据进行比较,以根据比较结果产生展开气囊的决策信号,计算所述决策信号和所述时间实例,以根据事故征候部署安全气囊ct,将操作指令信号提供给安全气囊展开操作装置。

著录项

  • 公开/公告号US5377108A

    专利类型

  • 公开/公告日1994-12-27

    原文格式PDF

  • 申请/专利权人 TAKATA CORPORATION;

    申请/专利号US19930045247

  • 发明设计人 TOMOYUKI NISHIO;

    申请日1993-04-13

  • 分类号B60R21/32;

  • 国家 US

  • 入库时间 2022-08-22 04:05:40

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